| paper_id | chemla2013experimentingcontextualismnat |
|---|---|
| short_label | Hansen & Chemla 2013 |
| citation | Hansen, N., & Chemla, E. (2013). Experimenting on contextualism. Mind & Language, 28(3), 286–321. |
| doi | — |
| year | 2013 |
| published | Yes |
| publication_language | English |
| publication_language_other | — |
| research_objective | Refine the design of context shifting experiments and test whether context (Low vs High) affects truth-value judgments for knowledge ascriptions (and other expressions) across all four polarity×context cells. |
| data_available_online | — |
| data_url | — |
| notes | This extraction records vignette-level knowledge effects reconstructed from the supplementary archive rather than only the aggregate Figure 5 contrasts. |
| study_id | 1 |
|---|---|
| label | Context-shifting experiment (44 judgments) |
| objective | Test whether changing context (Low vs High) shifts truth-value judgments for positive vs negative sentences across knowledge, color, miscellaneous, and control scenarios in a within-subject design covering all four polarity×context cells. |
| study_language | English |
| study_language_other | — |
| design | Within-Subjects |
| design_other | Each participant judged each cell of each scenario (positive/negative × low/high) for 11 scenarios (44 judgments total), organized in four consecutive blocks. |
| manipulated_factors | Context (Low vs High; stakes and error-possibility cues); Polarity (Positive vs Negative sentence) |
| paradigm | Agreement that a sentence is true |
| paradigm_other | — |
| notes | Only the four knowledge scenarios are retained as meta-analytic effects. The scenario-number mapping K1-K4 to Bank/Truck/Train/Spelling is inferred from appendix order (A.1.1-A.1.4) because the raw archive stores only numeric scenario IDs. |
| n_final | 39 |
|---|---|
| recruitment | mTurk |
| recruitment_other | — |
| compensation | money |
| compensation_other | $2 |
| characteristics | Amazon Mechanical Turk participants; native speakers of English (one Spanish-speaker excluded). |
| mean_age | — |
| page | 12 |
|---|---|
| table_ref | — |
| tei_id | — |
| label | other |
|---|---|
| points | — |
| anchors | FALSE–TRUE continuous line (0–100%) |
| direction | Higher numbers indicate judging the sentence as more true. |
| page | — |
|---|---|
| table_ref | Figure 1 |
| tei_id | — |
| knowledge_question_text | For each story, participants assessed the truth-value of the character's boldfaced claim given the surrounding context. |
|---|---|
| knowledge_question_first | — |
| additional_question_text | — |
bank · DeRose-style bank-hours vignette adapted to the paper's four-cell context-shifting design.| scenario_code | bank |
|---|---|
| scenario_type | DeRose-style bank-hours vignette adapted to the paper's four-cell context-shifting design. |
| page | 14 |
|---|---|
| table_ref | Figure 2 |
| tei_id | — |
bridge · Truck convoy / bridge-crossing vignette with testimonial evidence about prior trucks.| scenario_code | bridge |
|---|---|
| scenario_type | Truck convoy / bridge-crossing vignette with testimonial evidence about prior trucks. |
| page | — |
|---|---|
| table_ref | — |
| tei_id | — |
train · Express-train vignette about whether the arriving train is the express to Providence.| scenario_code | train |
|---|---|
| scenario_type | Express-train vignette about whether the arriving train is the express to Providence. |
| page | 30 |
|---|---|
| table_ref | — |
| tei_id | — |
typos · Spelling / typo vignette about whether a paper contains any mistakes.| scenario_code | typos |
|---|---|
| scenario_type | Spelling / typo vignette about whether a paper contains any mistakes. |
| page | — |
|---|---|
| table_ref | — |
| tei_id | — |
s1_e1 · Bank scenario (positive sentence) · Within-Subjects · d=0.224438935137 · v=0.028242024805| effect_id | s1_e1 |
|---|---|
| subgroup | Bank scenario (positive sentence) |
| subgroup_desc | Context effect for positive bank knowledge self-ascription ('I know the bank will be open tomorrow'): Low vs High context (K1; mapping inferred from appendix order). |
| design | Within-Subjects |
| design_other | — |
| quality_flags | scenario_mapping_inferred_from_appendix_order |
| notes | — |
| metric | SMD |
|---|---|
| d | 0.224438935137 |
| v | 0.028242024805 |
| computed_from | groups |
| needs_review | false |
| notes | Computed from Analyses-SHARE raw data after reproducing the original Analyses.R recoding/filtering; within-subject d uses the project's SMCRP convention with r recovered from the paired contrast. |
| scenario | bank |
|---|---|
| skeptical_pressure | Yes |
| awareness | Yes |
| evidence | First Person |
| attribution_person | First Person |
| evidence_reliability | Medium |
| group_high | High |
|---|---|
| group_low | Low |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Archive-derived paired within-subject contrast after reproducing the original Analyses.R recoding and inclusion filter. |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | bank | The raw archive labels this item as K1; that numeric id is mapped to the bank vignette by appendix order. | Provenance
### A.1 Knowledge cases A.1.1 Bank | ||||||
skeptical_pressure | Yes | The bank vignette explicitly raises a counterconsideration about possible changes in bank hours. | Provenance
High: Sylvie ... says, 'Banks are typically closed on Saturday. Maybe this bank won't be open tomorrow either. Banks can always change their hours... Do you know the bank will be open tomorrow?' | ||||||
awareness | Yes | The practical stakes are described as part of the protagonist's deliberative situation. | Provenance
High: Bruno and Sylvie have just written a very large check, and if the money from their pay is not deposited by Monday, it will bounce, leaving them in a very bad situation... | ||||||
evidence | First Person | The evidence is the speaker's own recent visit and memory. | Provenance
He remembers driving by last Saturday and seeing that it was open until noon. | ||||||
attribution_person | First Person | Participants evaluate a first-person self-ascription of knowledge. | Provenance
Positive: Bruno replies, 'I know the bank will be open tomorrow'. | ||||||
evidence_reliability | Medium | Memory + prediction from a prior bank visit, with no extra verification, is an ordinary but fallible epistemic basis -> Medium. | Provenance
He remembers driving by last Saturday and seeing that it was open until noon. |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Low | Low context | 39 | 72.2205128205 | 23.0160948204 | — | Provenance
| ||||||
High | High context | 39 | 66.8051282051 | 25.1919154609 | — | Provenance
|
| test | t |
|---|---|
| t | 1.342550870359 |
| f | — |
| chi2 | — |
| z | — |
| df1 | 38 |
| df2 | — |
| p | 0.187383089394 |
| reported_d | — |
| reported_r | — |
| notes | Archive-derived paired t after reproducing the original Analyses.R recoding/filtering; paired low/high r = 0.456892. |
| page | — |
|---|---|
| table_ref | Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt |
| tei_id | — |
s1_e2 · Bank scenario (negative sentence) · Within-Subjects · d=-0.171176096003 · v=0.018160389148| effect_id | s1_e2 |
|---|---|
| subgroup | Bank scenario (negative sentence) |
| subgroup_desc | Context effect for negative bank knowledge self-ascription ('I don't know the bank will be open tomorrow'): Low vs High context (K1; mapping inferred from appendix order). |
| design | Within-Subjects |
| design_other | — |
| quality_flags | scenario_mapping_inferred_from_appendix_order |
| notes | — |
| metric | SMD |
|---|---|
| d | -0.171176096003 |
| v | 0.018160389148 |
| computed_from | groups |
| needs_review | false |
| notes | Computed from Analyses-SHARE raw data after reproducing the original Analyses.R recoding/filtering; within-subject d uses the project's SMCRP convention with r recovered from the paired contrast. |
| scenario | bank |
|---|---|
| skeptical_pressure | Yes |
| awareness | Yes |
| evidence | First Person |
| attribution_person | First Person |
| evidence_reliability | Medium |
| group_high | High |
|---|---|
| group_low | Low |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Archive-derived paired within-subject contrast after reproducing the original Analyses.R recoding and inclusion filter. |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | bank | The raw archive labels this item as K1; that numeric id is mapped to the bank vignette by appendix order. | Provenance
### A.1 Knowledge cases A.1.1 Bank | ||||||
skeptical_pressure | Yes | The bank vignette explicitly raises a counterconsideration about possible changes in bank hours. | Provenance
High: Sylvie ... says, 'Banks are typically closed on Saturday. Maybe this bank won't be open tomorrow either. Banks can always change their hours... Do you know the bank will be open tomorrow?' | ||||||
awareness | Yes | The practical stakes are described as part of the protagonist's deliberative situation. | Provenance
High: Bruno and Sylvie have just written a very large check, and if the money from their pay is not deposited by Monday, it will bounce, leaving them in a very bad situation... | ||||||
evidence | First Person | The evidence is the speaker's own recent visit and memory. | Provenance
He remembers driving by last Saturday and seeing that it was open until noon. | ||||||
attribution_person | First Person | Participants evaluate a first-person self-ascription using the negative knowledge sentence. | Provenance
Negative: Bruno replies, 'Well, no, I don't know the bank will be open tomorrow. I'd better go in and make sure'. | ||||||
evidence_reliability | Medium | Memory + prediction from a prior bank visit, with no extra verification, is an ordinary but fallible epistemic basis -> Medium. | Provenance
He remembers driving by last Saturday and seeing that it was open until noon. |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Low | Low context | 38 | 73.5210526316 | 24.5561921282 | — | Provenance
| ||||||
High | High context | 38 | 77.4368421053 | 21.0617550288 | — | Provenance
|
| test | t |
|---|---|
| t | -1.265750263279 |
| f | — |
| chi2 | — |
| z | — |
| df1 | 37 |
| df2 | — |
| p | 0.213514894688 |
| reported_d | — |
| reported_r | — |
| notes | Archive-derived paired t after reproducing the original Analyses.R recoding/filtering; paired low/high r = 0.660212. |
| page | — |
|---|---|
| table_ref | Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt |
| tei_id | — |
s1_e3 · Truck/bridge scenario (positive sentence) · Within-Subjects · d=0.477185244546 · v=0.030095248511| effect_id | s1_e3 |
|---|---|
| subgroup | Truck/bridge scenario (positive sentence) |
| subgroup_desc | Context effect for positive truck/bridge knowledge self-ascription ('I know our truck will make it across the bridge'): Low vs High context (K2; mapping inferred from appendix order). |
| design | Within-Subjects |
| design_other | — |
| quality_flags | scenario_mapping_inferred_from_appendix_order |
| notes | — |
| metric | SMD |
|---|---|
| d | 0.477185244546 |
| v | 0.030095248511 |
| computed_from | groups |
| needs_review | false |
| notes | Computed from Analyses-SHARE raw data after reproducing the original Analyses.R recoding/filtering; within-subject d uses the project's SMCRP convention with r recovered from the paired contrast. |
| scenario | bridge |
|---|---|
| skeptical_pressure | Yes |
| awareness | Yes |
| evidence | External |
| attribution_person | First Person |
| evidence_reliability | Medium |
| group_high | High |
|---|---|
| group_low | Low |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Archive-derived paired within-subject contrast after reproducing the original Analyses.R recoding and inclusion filter. |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | bridge | The raw archive labels this item as K2; that numeric id is mapped to the truck/bridge vignette by appendix order. | Provenance
### A.1.2 Truck | ||||||
skeptical_pressure | Yes | The high-context variant explicitly introduces a new possibility of failure. | Provenance
High (error): . . ., he will probably make it over as well, but he wonders whether the other trucks might have weakened the bridge enough that he won't make it across. | ||||||
awareness | Yes | The high-stakes consequence is part of the subject's immediate practical situation. | Provenance
High (stakes): . . . over a yawning thousand foot drop. | ||||||
evidence | External | The evidence is testimonial rather than first-person observation. | Provenance
He is told that all 15 trucks in the caravan made it over without a problem. | ||||||
attribution_person | First Person | Participants evaluate a first-person self-ascription of knowledge. | Provenance
'I know that our truck will make it across the bridge'. | ||||||
evidence_reliability | Medium | Testimony about the other trucks' crossing, plus inference to this truck, is an ordinary but fallible epistemic basis with no independent verification -> Medium. | Provenance
He is told that all 15 trucks in the caravan made it over without a problem. |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Low | Low context | 38 | 67.6789473684 | 24.6281552556 | — | Provenance
| ||||||
High | High context | 38 | 54.6842105263 | 29.6078379535 | — | Provenance
|
| test | t |
|---|---|
| t | 2.817541012894 |
| f | — |
| chi2 | — |
| z | — |
| df1 | 37 |
| df2 | — |
| p | 0.007721187008 |
| reported_d | — |
| reported_r | — |
| notes | Archive-derived paired t after reproducing the original Analyses.R recoding/filtering; paired low/high r = 0.462749. |
| page | — |
|---|---|
| table_ref | Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt |
| tei_id | — |
s1_e4 · Truck/bridge scenario (negative sentence) · Within-Subjects · d=-0.207008700785 · v=0.035356602312| effect_id | s1_e4 |
|---|---|
| subgroup | Truck/bridge scenario (negative sentence) |
| subgroup_desc | Context effect for negative truck/bridge knowledge self-ascription ('I don't know our truck will make it across the bridge'): Low vs High context (K2; mapping inferred from appendix order). |
| design | Within-Subjects |
| design_other | — |
| quality_flags | scenario_mapping_inferred_from_appendix_order |
| notes | — |
| metric | SMD |
|---|---|
| d | -0.207008700785 |
| v | 0.035356602312 |
| computed_from | groups |
| needs_review | false |
| notes | Computed from Analyses-SHARE raw data after reproducing the original Analyses.R recoding/filtering; within-subject d uses the project's SMCRP convention with r recovered from the paired contrast. |
| scenario | bridge |
|---|---|
| skeptical_pressure | Yes |
| awareness | Yes |
| evidence | External |
| attribution_person | First Person |
| evidence_reliability | Medium |
| group_high | High |
|---|---|
| group_low | Low |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Archive-derived paired within-subject contrast after reproducing the original Analyses.R recoding and inclusion filter. |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | bridge | The raw archive labels this item as K2; that numeric id is mapped to the truck/bridge vignette by appendix order. | Provenance
### A.1.2 Truck | ||||||
skeptical_pressure | Yes | The high-context variant explicitly introduces a new possibility of failure. | Provenance
High (error): . . ., he will probably make it over as well, but he wonders whether the other trucks might have weakened the bridge enough that he won't make it across. | ||||||
awareness | Yes | The high-stakes consequence is part of the subject's immediate practical situation. | Provenance
High (stakes): . . . over a yawning thousand foot drop. | ||||||
evidence | External | The evidence is testimonial rather than first-person observation. | Provenance
He is told that all 15 trucks in the caravan made it over without a problem. | ||||||
attribution_person | First Person | Participants evaluate a first-person self-ascription using the negative knowledge sentence. | Provenance
'I don't know that our truck will make it across the bridge. We should find another way across.' | ||||||
evidence_reliability | Medium | Testimony about the other trucks' crossing, plus inference to this truck, is an ordinary but fallible epistemic basis with no independent verification -> Medium. | Provenance
He is told that all 15 trucks in the caravan made it over without a problem. |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Low | Low context | 38 | 67.9684210526 | 30.4592071489 | — | Provenance
| ||||||
High | High context | 38 | 73.5684210526 | 23.1486162713 | — | Provenance
|
| test | t |
|---|---|
| t | -1.095829710663 |
| f | — |
| chi2 | — |
| z | — |
| df1 | 37 |
| df2 | — |
| p | 0.28023505947 |
| reported_d | — |
| reported_r | — |
| notes | Archive-derived paired t after reproducing the original Analyses.R recoding/filtering; paired low/high r = 0.334179. |
| page | — |
|---|---|
| table_ref | Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt |
| tei_id | — |
s1_e5 · Train scenario (positive sentence) · Within-Subjects · d=0.267602569194 · v=0.031515870642| effect_id | s1_e5 |
|---|---|
| subgroup | Train scenario (positive sentence) |
| subgroup_desc | Context effect for positive train knowledge self-ascription ('I know that it is the express'): Low vs High context (K3; mapping inferred from appendix order). |
| design | Within-Subjects |
| design_other | — |
| quality_flags | scenario_mapping_inferred_from_appendix_order |
| notes | — |
| metric | SMD |
|---|---|
| d | 0.267602569194 |
| v | 0.031515870642 |
| computed_from | groups |
| needs_review | false |
| notes | Computed from Analyses-SHARE raw data after reproducing the original Analyses.R recoding/filtering; within-subject d uses the project's SMCRP convention with r recovered from the paired contrast. |
| scenario | other |
|---|---|
| skeptical_pressure | Yes |
| awareness | Yes |
| evidence | External |
| attribution_person | First Person |
| evidence_reliability | Medium |
| group_high | High |
|---|---|
| group_low | Low |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Archive-derived paired within-subject contrast after reproducing the original Analyses.R recoding and inclusion filter. |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | other | The raw archive labels this item as K3; that numeric id is mapped to the train vignette by appendix order, where A.1.3 is the third knowledge case. | Provenance
A.1.3 Train | ||||||
skeptical_pressure | Yes | The high-error train condition explicitly introduces the possibility that the testimony was misunderstood. | Provenance
High (error): But then Sid says, 'Maybe the ticket-seller misunderstood your question. Maybe you misunderstood the answer. I don’t want to be wrong about this.' | ||||||
awareness | Yes | The high-stakes train condition explicitly makes the practical stakes salient to the protagonists. | Provenance
High (stakes): They absolutely need to be in Providence, the sooner the better. Their career depends on it. ... High (stakes): 'If it does, we’ll miss our meeting in Providence'. | ||||||
evidence | External | The belief is based on remembered testimony from the ticket seller. | Provenance
Johnny tells Sid that he remembers that the person who sold him the ticket said it was the express. | ||||||
attribution_person | First Person | Participants evaluate a first-person self-ascription of knowledge. | Provenance
'I know that it is the express.' | ||||||
evidence_reliability | Medium | Remembered testimony from the ticket seller, with no extra verification, is an ordinary but fallible epistemic basis -> Medium. | Provenance
Johnny tells Sid that he remembers that the person who sold him the ticket said it was the express. |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Low | Low context | 39 | 79.8102564103 | 23.9611065871 | — | Provenance
| ||||||
High | High context | 39 | 73.8153846154 | 20.7262551326 | — | Provenance
|
| test | t |
|---|---|
| t | 1.515085640383 |
| f | — |
| chi2 | — |
| z | — |
| df1 | 38 |
| df2 | — |
| p | 0.13802543918 |
| reported_d | — |
| reported_r | — |
| notes | Archive-derived paired t after reproducing the original Analyses.R recoding/filtering; paired low/high r = 0.395794. |
| page | — |
|---|---|
| table_ref | Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt |
| tei_id | — |
s1_e6 · Train scenario (negative sentence) · Within-Subjects · d=-0.254103783945 · v=0.036411104162| effect_id | s1_e6 |
|---|---|
| subgroup | Train scenario (negative sentence) |
| subgroup_desc | Context effect for negative train knowledge self-ascription ('I don't know that it is the express'): Low vs High context (K3; mapping inferred from appendix order). |
| design | Within-Subjects |
| design_other | — |
| quality_flags | scenario_mapping_inferred_from_appendix_order |
| notes | — |
| metric | SMD |
|---|---|
| d | -0.254103783945 |
| v | 0.036411104162 |
| computed_from | groups |
| needs_review | false |
| notes | Computed from Analyses-SHARE raw data after reproducing the original Analyses.R recoding/filtering; within-subject d uses the project's SMCRP convention with r recovered from the paired contrast. |
| scenario | other |
|---|---|
| skeptical_pressure | Yes |
| awareness | Yes |
| evidence | External |
| attribution_person | First Person |
| evidence_reliability | Medium |
| group_high | High |
|---|---|
| group_low | Low |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Archive-derived paired within-subject contrast after reproducing the original Analyses.R recoding and inclusion filter. |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | other | The raw archive labels this item as K3; that numeric id is mapped to the train vignette by appendix order, where A.1.3 is the third knowledge case. | Provenance
A.1.3 Train | ||||||
skeptical_pressure | Yes | The high-error train condition explicitly introduces the possibility that the testimony was misunderstood. | Provenance
High (error): But then Sid says, 'Maybe the ticket-seller misunderstood your question. Maybe you misunderstood the answer. I don’t want to be wrong about this.' | ||||||
awareness | Yes | The high-stakes train condition explicitly makes the practical stakes salient to the protagonists. | Provenance
High (stakes): They absolutely need to be in Providence, the sooner the better. Their career depends on it. ... High (stakes): 'If it does, we’ll miss our meeting in Providence'. | ||||||
evidence | External | The belief is based on remembered testimony from the ticket seller. | Provenance
Johnny tells Sid that he remembers that the person who sold him the ticket said it was the express. | ||||||
attribution_person | First Person | Participants evaluate a first-person self-ascription using the negative knowledge sentence. | Provenance
'I don't know that it is the express. I'd better go and make sure.' | ||||||
evidence_reliability | Medium | Remembered testimony from the ticket seller, with no extra verification, is an ordinary but fallible epistemic basis -> Medium. | Provenance
Johnny tells Sid that he remembers that the person who sold him the ticket said it was the express. |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Low | Low context | 38 | 64.5 | 28.2207418448 | — | Provenance
| ||||||
High | High context | 38 | 71.0315789474 | 22.9133043527 | — | Provenance
|
| test | t |
|---|---|
| t | -1.333711094431 |
| f | — |
| chi2 | — |
| z | — |
| df1 | 37 |
| df2 | — |
| p | 0.19045102615 |
| reported_d | — |
| reported_r | — |
| notes | Archive-derived paired t after reproducing the original Analyses.R recoding/filtering; paired low/high r = 0.317072. |
| page | — |
|---|---|
| table_ref | Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt |
| tei_id | — |
s1_e7 · Spelling/typos scenario (positive sentence) · Within-Subjects · d=0.321653379122 · v=0.019998789289| effect_id | s1_e7 |
|---|---|
| subgroup | Spelling/typos scenario (positive sentence) |
| subgroup_desc | Context effect for positive spelling/typos knowledge self-ascription ('I know that everything on it is spelled correctly'): Low vs High context (K4; mapping inferred from appendix order). |
| design | Within-Subjects |
| design_other | — |
| quality_flags | scenario_mapping_inferred_from_appendix_order |
| notes | — |
| metric | SMD |
|---|---|
| d | 0.321653379122 |
| v | 0.019998789289 |
| computed_from | groups |
| needs_review | false |
| notes | Computed from Analyses-SHARE raw data after reproducing the original Analyses.R recoding/filtering; within-subject d uses the project's SMCRP convention with r recovered from the paired contrast. |
| scenario | typos |
|---|---|
| skeptical_pressure | Yes |
| awareness | Yes |
| evidence | First Person |
| attribution_person | First Person |
| evidence_reliability | High |
| group_high | High |
|---|---|
| group_low | Low |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Archive-derived paired within-subject contrast after reproducing the original Analyses.R recoding and inclusion filter. |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | typos | The raw archive labels this item as K4; that numeric id is mapped to the spelling/typos vignette by appendix order. | Provenance
### A.1.4 Spelling | ||||||
skeptical_pressure | Yes | The high-context variant explicitly raises the possibility of hidden spelling mistakes. | Provenance
High (error): Before he hands it in, John's roommate reminds him that he might have missed some mistakes when he checked the paper. | ||||||
awareness | Yes | The vignette explicitly states that the protagonist is aware of the high stakes. | Provenance
And he is well aware of this. | ||||||
evidence | First Person | The evidence is generated by the protagonist's own checking and use of a dictionary. | Provenance
Even though John is a pretty good speller, he has a dictionary with him and he has checked the paper once to make sure it doesn't have any mistakes. | ||||||
attribution_person | First Person | Participants evaluate a first-person self-ascription of knowledge. | Provenance
'I will hand this paper in. I know that everything on it is spelled correctly'. | ||||||
evidence_reliability | High | A first-person checking/verification procedure with dictionary support is presented as a comparatively strong epistemic basis -> High. | Provenance
Even though John is a pretty good speller, he has a dictionary with him and he has checked the paper once to make sure it doesn't have any mistakes. |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Low | Low context | 39 | 76.2256410256 | 25.6152166736 | — | Provenance
| ||||||
High | High context | 39 | 67.2358974359 | 30.1015429503 | — | Provenance
|
| test | t |
|---|---|
| t | 2.304062195905 |
| f | — |
| chi2 | — |
| z | — |
| df1 | 38 |
| df2 | — |
| p | 0.026780187959 |
| reported_d | — |
| reported_r | — |
| notes | Archive-derived paired t after reproducing the original Analyses.R recoding/filtering; paired low/high r = 0.628058. |
| page | — |
|---|---|
| table_ref | Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt |
| tei_id | — |
s1_e8 · Spelling/typos scenario (negative sentence) · Within-Subjects · d=-0.125736443703 · v=0.028085528124| effect_id | s1_e8 |
|---|---|
| subgroup | Spelling/typos scenario (negative sentence) |
| subgroup_desc | Context effect for negative spelling/typos knowledge self-ascription ('I don't know that everything on it is spelled correctly'): Low vs High context (K4; mapping inferred from appendix order). |
| design | Within-Subjects |
| design_other | — |
| quality_flags | scenario_mapping_inferred_from_appendix_order |
| notes | — |
| metric | SMD |
|---|---|
| d | -0.125736443703 |
| v | 0.028085528124 |
| computed_from | groups |
| needs_review | false |
| notes | Computed from Analyses-SHARE raw data after reproducing the original Analyses.R recoding/filtering; within-subject d uses the project's SMCRP convention with r recovered from the paired contrast. |
| scenario | typos |
|---|---|
| skeptical_pressure | Yes |
| awareness | Yes |
| evidence | First Person |
| attribution_person | First Person |
| evidence_reliability | High |
| group_high | High |
|---|---|
| group_low | Low |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Archive-derived paired within-subject contrast after reproducing the original Analyses.R recoding and inclusion filter. |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | typos | The raw archive labels this item as K4; that numeric id is mapped to the spelling/typos vignette by appendix order. | Provenance
### A.1.4 Spelling | ||||||
skeptical_pressure | Yes | The high-context variant explicitly raises the possibility of hidden spelling mistakes. | Provenance
High (error): Before he hands it in, John's roommate reminds him that he might have missed some mistakes when he checked the paper. | ||||||
awareness | Yes | The vignette explicitly states that the protagonist is aware of the high stakes. | Provenance
And he is well aware of this. | ||||||
evidence | First Person | The evidence is generated by the protagonist's own checking and use of a dictionary. | Provenance
Even though John is a pretty good speller, he has a dictionary with him and he has checked the paper once to make sure it doesn't have any mistakes. | ||||||
attribution_person | First Person | Participants evaluate a first-person self-ascription using the negative knowledge sentence. | Provenance
'I won't hand this paper in yet. I don't know that everything on it is spelled correctly'. | ||||||
evidence_reliability | High | A first-person checking/verification procedure with dictionary support is presented as a comparatively strong epistemic basis -> High. | Provenance
Even though John is a pretty good speller, he has a dictionary with him and he has checked the paper once to make sure it doesn't have any mistakes. |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Low | Low context | 37 | 67.7405405405 | 29.734897749 | — | Provenance
| ||||||
High | High context | 37 | 71.5027027027 | 30.1059839612 | — | Provenance
|
| test | t |
|---|---|
| t | -0.752012652975 |
| f | — |
| chi2 | — |
| z | — |
| df1 | 36 |
| df2 | — |
| p | 0.456932319114 |
| reported_d | — |
| reported_r | — |
| notes | Archive-derived paired t after reproducing the original Analyses.R recoding/filtering; paired low/high r = 0.482855. |
| page | — |
|---|---|
| table_ref | Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt |
| tei_id | — |
schema_version: "1.2"
paper:
paper_id: chemla2013experimentingcontextualismnat
citation: "Hansen, N., & Chemla, E. (2013). Experimenting on contextualism. Mind & Language, 28(3), 286–321."
short_label: "Hansen & Chemla 2013"
doi: null
published: "Yes"
year: 2013
language: "English"
language_other: null
research_objective: "Refine the design of context shifting experiments and test whether context (Low vs High) affects truth-value judgments for knowledge ascriptions (and other expressions) across all four polarity×context cells."
data_availability:
data_available_online: null
url: null
notes: "A local copy of the supplementary Analyses-SHARE archive is stored under out/external and contains raw response files plus the original R analysis scripts."
notes: "This extraction records vignette-level knowledge effects reconstructed from the supplementary archive rather than only the aggregate Figure 5 contrasts."
studies:
- study_id: 1
label: "Context-shifting experiment (44 judgments)"
language: English
language_other: null
objective: "Test whether changing context (Low vs High) shifts truth-value judgments for positive vs negative sentences across knowledge, color, miscellaneous, and control scenarios in a within-subject design covering all four polarity×context cells."
sample:
n_final: 39
recruitment: mTurk
recruitment_other: null
compensation: money
compensation_other: "$2"
characteristics: "Amazon Mechanical Turk participants; native speakers of English (one Spanish-speaker excluded)."
provenance:
page: 12
quote: "We recruited 40 participants over Amazon Mechanical Turk for $2 each (see Sprouse, 2011 for discussion of the reliability of the Mechanical Turk as a data gathering tool). One participant reported that he was a native speaker of Spanish and was excluded from subsequent analyses. The 39 participants included in the analyses reported to be native speakers of English."
tei_id: null
table_ref: null
design: "Within-Subjects"
design_other: "Each participant judged each cell of each scenario (positive/negative × low/high) for 11 scenarios (44 judgments total), organized in four consecutive blocks."
manipulated_factors:
- "Context (Low vs High; stakes and error-possibility cues)"
- "Polarity (Positive vs Negative sentence)"
paradigm: "Agreement that a sentence is true"
paradigm_other: null
scale:
label: "other"
points: null
anchors: "FALSE–TRUE continuous line (0–100%)"
direction: "Higher numbers indicate judging the sentence as more true."
provenance:
page: null
quote: "Answers were coded as the percentage of the line filled in red, 100% corresponding to an unambiguous true response, and 0% to an unambiguous false response."
tei_id: null
table_ref: "Figure 1"
measures:
knowledge_question_text: "For each story, participants assessed the truth-value of the character's boldfaced claim given the surrounding context."
knowledge_question_first: null
additional_question_text: null
scenarios:
- scenario_code: bank
scenario_type: "DeRose-style bank-hours vignette adapted to the paper's four-cell context-shifting design."
high_stakes_text: "High context: Bruno and Sylvie have written a very large check that will bounce if their pay is not deposited by Monday; Sylvie says banks are typically closed on Saturday, may change their hours, and asks whether Bruno knows the bank will be open tomorrow."
low_stakes_text: "Low context: depositing the paychecks right away is not especially important; Bruno remembers seeing the bank open until noon last Saturday, while Sylvie notes that lots of banks are closed on Saturdays but shops are often open in the neighborhood."
provenance:
page: 14
quote: "Low: ... it is not especially important in this case that they be deposited right away. ... High: Bruno and Sylvie have just written a very large check, and if the money from their pay is not deposited by Monday, it will bounce..."
tei_id: null
table_ref: "Figure 2"
- scenario_code: bridge
scenario_type: "Truck convoy / bridge-crossing vignette with testimonial evidence about prior trucks."
high_stakes_text: "High context: the bridge spans a yawning thousand-foot drop, and the protagonist worries that the earlier trucks may have weakened it enough that his truck will not make it across."
low_stakes_text: "Low context: the bridge is only over a three-foot ditch; after hearing that all 15 trucks in the caravan made it over safely, the protagonist reasons that his truck will probably make it too."
provenance:
page: null
quote: "Low (stakes) : . . . over a three foot ditch. High (stakes): . . . over a yawning thousand foot drop. ... He is told that all 15 trucks in the caravan made it over without a problem."
tei_id: null
table_ref: null
- scenario_code: train
scenario_type: "Express-train vignette about whether the arriving train is the express to Providence."
high_stakes_text: "High context: Sid and Johnny absolutely need to be in Providence as soon as possible because their career depends on it; Sid warns that if the train is not the express they will miss their meeting, and in the high-error version suggests that the ticket-seller may have misunderstood or been misunderstood."
low_stakes_text: "Low context: Sid and Johnny are travelling to see friends on a relaxing vacation, so it matters only mildly whether the train is the express; Johnny relies on remembering that the ticket-seller said it was the express."
provenance:
page: 30
quote: "Sid and Johnny are at Back Bay Station in Boston preparing to take the commuter rail to Providence. ... Low (stakes): They can take their time getting there---they’re going to see friends. It will be a relaxing vacation. ... High (stakes): They absolutely need to be in Providence, the sooner the better. Their career depends on it."
tei_id: null
table_ref: null
- scenario_code: typos
scenario_type: "Spelling / typo vignette about whether a paper contains any mistakes."
high_stakes_text: "High context: the paper must be perfect for John to secure an A needed to keep his scholarship; before he hands it in, his roommate reminds him that he may have missed some spelling mistakes."
low_stakes_text: "Low context: the paper is only a rough draft and a few spelling mistakes would not matter; John has a dictionary and has checked the paper once, with no additional error reminder."
provenance:
page: null
quote: "The teacher is just asking for a rough draft and it won't matter if there are a few spelling mistakes. ... High (error): Before he hands it in, John's roommate reminds him that he might have missed some mistakes when he checked the paper."
tei_id: null
table_ref: null
notes: "Only the four knowledge scenarios are retained as meta-analytic effects. The scenario-number mapping K1-K4 to Bank/Truck/Train/Spelling is inferred from appendix order (A.1.1-A.1.4) because the raw archive stores only numeric scenario IDs."
effects:
- effect_id: s1_e1
subgroup: "Bank scenario (positive sentence)"
subgroup_desc: "Context effect for positive bank knowledge self-ascription ('I know the bank will be open tomorrow'): Low vs High context (K1; mapping inferred from appendix order)."
design: "Within-Subjects"
moderators:
scenario: bank
skeptical_pressure: "Yes"
awareness: "Yes"
evidence: "First Person"
attribution_person: "First Person"
evidence_reliability: "Medium"
moderators_coding:
scenario:
provenance:
page: null
quote: "### A.1 Knowledge cases A.1.1 Bank"
tei_id: null
table_ref: null
reason: "The raw archive labels this item as K1; that numeric id is mapped to the bank vignette by appendix order."
skeptical_pressure:
provenance:
page: 14
quote: "High: Sylvie ... says, 'Banks are typically closed on Saturday. Maybe this bank won't be open tomorrow either. Banks can always change their hours... Do you know the bank will be open tomorrow?'"
tei_id: null
table_ref: "Figure 2"
reason: "The bank vignette explicitly raises a counterconsideration about possible changes in bank hours."
awareness:
provenance:
page: 14
quote: "High: Bruno and Sylvie have just written a very large check, and if the money from their pay is not deposited by Monday, it will bounce, leaving them in a very bad situation..."
tei_id: null
table_ref: "Figure 2"
reason: "The practical stakes are described as part of the protagonist's deliberative situation."
evidence:
provenance:
page: 14
quote: "He remembers driving by last Saturday and seeing that it was open until noon."
tei_id: null
table_ref: "Figure 2"
reason: "The evidence is the speaker's own recent visit and memory."
attribution_person:
provenance:
page: 14
quote: "Positive: Bruno replies, 'I know the bank will be open tomorrow'."
tei_id: null
table_ref: "Figure 2"
reason: "Participants evaluate a first-person self-ascription of knowledge."
evidence_reliability:
provenance:
page: 14
quote: "He remembers driving by last Saturday and seeing that it was open until noon."
tei_id: null
table_ref: "Figure 2"
reason: "Memory + prediction from a prior bank visit, with no extra verification, is an ordinary but fallible epistemic basis -> Medium."
contrast:
group_high: High
group_low: Low
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Archive-derived paired within-subject contrast after reproducing the original Analyses.R recoding and inclusion filter."
groups:
- group_id: Low
label: "Low context"
n: 39
mean: 72.2205128205
sd: 23.0160948204
se: null
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
- group_id: High
label: "High context"
n: 39
mean: 66.8051282051
sd: 25.1919154609
se: null
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
reported_test:
test: "t"
t: 1.342550870359
f: null
chi2: null
z: null
df1: 38
df2: null
p: 0.187383089394
reported_d: null
reported_r: null
notes: "Archive-derived paired t after reproducing the original Analyses.R recoding/filtering; paired low/high r = 0.456892."
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
effect_size:
metric: SMD
d: 0.224438935137
v: 0.028242024805
computed_from: groups
needs_review: false
notes: "Computed from Analyses-SHARE raw data after reproducing the original Analyses.R recoding/filtering; within-subject d uses the project's SMCRP convention with r recovered from the paired contrast."
quality_flags:
- "scenario_mapping_inferred_from_appendix_order"
notes: null
- effect_id: s1_e2
subgroup: "Bank scenario (negative sentence)"
subgroup_desc: "Context effect for negative bank knowledge self-ascription ('I don't know the bank will be open tomorrow'): Low vs High context (K1; mapping inferred from appendix order)."
design: "Within-Subjects"
moderators:
scenario: bank
skeptical_pressure: "Yes"
awareness: "Yes"
evidence: "First Person"
attribution_person: "First Person"
evidence_reliability: "Medium"
moderators_coding:
scenario:
provenance:
page: null
quote: "### A.1 Knowledge cases A.1.1 Bank"
tei_id: null
table_ref: null
reason: "The raw archive labels this item as K1; that numeric id is mapped to the bank vignette by appendix order."
skeptical_pressure:
provenance:
page: 14
quote: "High: Sylvie ... says, 'Banks are typically closed on Saturday. Maybe this bank won't be open tomorrow either. Banks can always change their hours... Do you know the bank will be open tomorrow?'"
tei_id: null
table_ref: "Figure 2"
reason: "The bank vignette explicitly raises a counterconsideration about possible changes in bank hours."
awareness:
provenance:
page: 14
quote: "High: Bruno and Sylvie have just written a very large check, and if the money from their pay is not deposited by Monday, it will bounce, leaving them in a very bad situation..."
tei_id: null
table_ref: "Figure 2"
reason: "The practical stakes are described as part of the protagonist's deliberative situation."
evidence:
provenance:
page: 14
quote: "He remembers driving by last Saturday and seeing that it was open until noon."
tei_id: null
table_ref: "Figure 2"
reason: "The evidence is the speaker's own recent visit and memory."
attribution_person:
provenance:
page: 14
quote: "Negative: Bruno replies, 'Well, no, I don't know the bank will be open tomorrow. I'd better go in and make sure'."
tei_id: null
table_ref: "Figure 2"
reason: "Participants evaluate a first-person self-ascription using the negative knowledge sentence."
evidence_reliability:
provenance:
page: 14
quote: "He remembers driving by last Saturday and seeing that it was open until noon."
tei_id: null
table_ref: "Figure 2"
reason: "Memory + prediction from a prior bank visit, with no extra verification, is an ordinary but fallible epistemic basis -> Medium."
contrast:
group_high: High
group_low: Low
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Archive-derived paired within-subject contrast after reproducing the original Analyses.R recoding and inclusion filter."
groups:
- group_id: Low
label: "Low context"
n: 38
mean: 73.5210526316
sd: 24.5561921282
se: null
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
- group_id: High
label: "High context"
n: 38
mean: 77.4368421053
sd: 21.0617550288
se: null
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
reported_test:
test: "t"
t: -1.265750263279
f: null
chi2: null
z: null
df1: 37
df2: null
p: 0.213514894688
reported_d: null
reported_r: null
notes: "Archive-derived paired t after reproducing the original Analyses.R recoding/filtering; paired low/high r = 0.660212."
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
effect_size:
metric: SMD
d: -0.171176096003
v: 0.018160389148
computed_from: groups
needs_review: false
notes: "Computed from Analyses-SHARE raw data after reproducing the original Analyses.R recoding/filtering; within-subject d uses the project's SMCRP convention with r recovered from the paired contrast."
quality_flags:
- "scenario_mapping_inferred_from_appendix_order"
notes: null
- effect_id: s1_e3
subgroup: "Truck/bridge scenario (positive sentence)"
subgroup_desc: "Context effect for positive truck/bridge knowledge self-ascription ('I know our truck will make it across the bridge'): Low vs High context (K2; mapping inferred from appendix order)."
design: "Within-Subjects"
moderators:
scenario: bridge
skeptical_pressure: "Yes"
awareness: "Yes"
evidence: "External"
attribution_person: "First Person"
evidence_reliability: "Medium"
moderators_coding:
scenario:
provenance:
page: null
quote: "### A.1.2 Truck"
tei_id: null
table_ref: null
reason: "The raw archive labels this item as K2; that numeric id is mapped to the truck/bridge vignette by appendix order."
skeptical_pressure:
provenance:
page: null
quote: "High (error): . . ., he will probably make it over as well, but he wonders whether the other trucks might have weakened the bridge enough that he won't make it across."
tei_id: null
table_ref: null
reason: "The high-context variant explicitly introduces a new possibility of failure."
awareness:
provenance:
page: null
quote: "High (stakes): . . . over a yawning thousand foot drop."
tei_id: null
table_ref: null
reason: "The high-stakes consequence is part of the subject's immediate practical situation."
evidence:
provenance:
page: null
quote: "He is told that all 15 trucks in the caravan made it over without a problem."
tei_id: null
table_ref: null
reason: "The evidence is testimonial rather than first-person observation."
attribution_person:
provenance:
page: null
quote: "'I know that our truck will make it across the bridge'."
tei_id: null
table_ref: null
reason: "Participants evaluate a first-person self-ascription of knowledge."
evidence_reliability:
provenance:
page: null
quote: "He is told that all 15 trucks in the caravan made it over without a problem."
tei_id: null
table_ref: null
reason: "Testimony about the other trucks' crossing, plus inference to this truck, is an ordinary but fallible epistemic basis with no independent verification -> Medium."
contrast:
group_high: High
group_low: Low
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Archive-derived paired within-subject contrast after reproducing the original Analyses.R recoding and inclusion filter."
groups:
- group_id: Low
label: "Low context"
n: 38
mean: 67.6789473684
sd: 24.6281552556
se: null
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
- group_id: High
label: "High context"
n: 38
mean: 54.6842105263
sd: 29.6078379535
se: null
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
reported_test:
test: "t"
t: 2.817541012894
f: null
chi2: null
z: null
df1: 37
df2: null
p: 0.007721187008
reported_d: null
reported_r: null
notes: "Archive-derived paired t after reproducing the original Analyses.R recoding/filtering; paired low/high r = 0.462749."
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
effect_size:
metric: SMD
d: 0.477185244546
v: 0.030095248511
computed_from: groups
needs_review: false
notes: "Computed from Analyses-SHARE raw data after reproducing the original Analyses.R recoding/filtering; within-subject d uses the project's SMCRP convention with r recovered from the paired contrast."
quality_flags:
- "scenario_mapping_inferred_from_appendix_order"
notes: null
- effect_id: s1_e4
subgroup: "Truck/bridge scenario (negative sentence)"
subgroup_desc: "Context effect for negative truck/bridge knowledge self-ascription ('I don't know our truck will make it across the bridge'): Low vs High context (K2; mapping inferred from appendix order)."
design: "Within-Subjects"
moderators:
scenario: bridge
skeptical_pressure: "Yes"
awareness: "Yes"
evidence: "External"
attribution_person: "First Person"
evidence_reliability: "Medium"
moderators_coding:
scenario:
provenance:
page: null
quote: "### A.1.2 Truck"
tei_id: null
table_ref: null
reason: "The raw archive labels this item as K2; that numeric id is mapped to the truck/bridge vignette by appendix order."
skeptical_pressure:
provenance:
page: null
quote: "High (error): . . ., he will probably make it over as well, but he wonders whether the other trucks might have weakened the bridge enough that he won't make it across."
tei_id: null
table_ref: null
reason: "The high-context variant explicitly introduces a new possibility of failure."
awareness:
provenance:
page: null
quote: "High (stakes): . . . over a yawning thousand foot drop."
tei_id: null
table_ref: null
reason: "The high-stakes consequence is part of the subject's immediate practical situation."
evidence:
provenance:
page: null
quote: "He is told that all 15 trucks in the caravan made it over without a problem."
tei_id: null
table_ref: null
reason: "The evidence is testimonial rather than first-person observation."
attribution_person:
provenance:
page: null
quote: "'I don't know that our truck will make it across the bridge. We should find another way across.'"
tei_id: null
table_ref: null
reason: "Participants evaluate a first-person self-ascription using the negative knowledge sentence."
evidence_reliability:
provenance:
page: null
quote: "He is told that all 15 trucks in the caravan made it over without a problem."
tei_id: null
table_ref: null
reason: "Testimony about the other trucks' crossing, plus inference to this truck, is an ordinary but fallible epistemic basis with no independent verification -> Medium."
contrast:
group_high: High
group_low: Low
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Archive-derived paired within-subject contrast after reproducing the original Analyses.R recoding and inclusion filter."
groups:
- group_id: Low
label: "Low context"
n: 38
mean: 67.9684210526
sd: 30.4592071489
se: null
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
- group_id: High
label: "High context"
n: 38
mean: 73.5684210526
sd: 23.1486162713
se: null
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
reported_test:
test: "t"
t: -1.095829710663
f: null
chi2: null
z: null
df1: 37
df2: null
p: 0.280235059470
reported_d: null
reported_r: null
notes: "Archive-derived paired t after reproducing the original Analyses.R recoding/filtering; paired low/high r = 0.334179."
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
effect_size:
metric: SMD
d: -0.207008700785
v: 0.035356602312
computed_from: groups
needs_review: false
notes: "Computed from Analyses-SHARE raw data after reproducing the original Analyses.R recoding/filtering; within-subject d uses the project's SMCRP convention with r recovered from the paired contrast."
quality_flags:
- "scenario_mapping_inferred_from_appendix_order"
notes: null
- effect_id: s1_e5
subgroup: "Train scenario (positive sentence)"
subgroup_desc: "Context effect for positive train knowledge self-ascription ('I know that it is the express'): Low vs High context (K3; mapping inferred from appendix order)."
design: "Within-Subjects"
moderators:
scenario: other
skeptical_pressure: "Yes"
awareness: "Yes"
evidence: "External"
attribution_person: "First Person"
evidence_reliability: "Medium"
moderators_coding:
scenario:
provenance:
page: 30
quote: "A.1.3 Train"
tei_id: null
table_ref: null
reason: "The raw archive labels this item as K3; that numeric id is mapped to the train vignette by appendix order, where A.1.3 is the third knowledge case."
skeptical_pressure:
provenance:
page: 31
quote: "High (error): But then Sid says, 'Maybe the ticket-seller misunderstood your question. Maybe you misunderstood the answer. I don’t want to be wrong about this.'"
tei_id: null
table_ref: null
reason: "The high-error train condition explicitly introduces the possibility that the testimony was misunderstood."
awareness:
provenance:
page: 30
quote: "High (stakes): They absolutely need to be in Providence, the sooner the better. Their career depends on it. ... High (stakes): 'If it does, we’ll miss our meeting in Providence'."
tei_id: null
table_ref: null
reason: "The high-stakes train condition explicitly makes the practical stakes salient to the protagonists."
evidence:
provenance:
page: 31
quote: "Johnny tells Sid that he remembers that the person who sold him the ticket said it was the express."
tei_id: null
table_ref: null
reason: "The belief is based on remembered testimony from the ticket seller."
attribution_person:
provenance:
page: 31
quote: "'I know that it is the express.'"
tei_id: null
table_ref: null
reason: "Participants evaluate a first-person self-ascription of knowledge."
evidence_reliability:
provenance:
page: 31
quote: "Johnny tells Sid that he remembers that the person who sold him the ticket said it was the express."
tei_id: null
table_ref: null
reason: "Remembered testimony from the ticket seller, with no extra verification, is an ordinary but fallible epistemic basis -> Medium."
contrast:
group_high: High
group_low: Low
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Archive-derived paired within-subject contrast after reproducing the original Analyses.R recoding and inclusion filter."
groups:
- group_id: Low
label: "Low context"
n: 39
mean: 79.8102564103
sd: 23.9611065871
se: null
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
- group_id: High
label: "High context"
n: 39
mean: 73.8153846154
sd: 20.7262551326
se: null
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
reported_test:
test: "t"
t: 1.515085640383
f: null
chi2: null
z: null
df1: 38
df2: null
p: 0.138025439180
reported_d: null
reported_r: null
notes: "Archive-derived paired t after reproducing the original Analyses.R recoding/filtering; paired low/high r = 0.395794."
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
effect_size:
metric: SMD
d: 0.267602569194
v: 0.031515870642
computed_from: groups
needs_review: false
notes: "Computed from Analyses-SHARE raw data after reproducing the original Analyses.R recoding/filtering; within-subject d uses the project's SMCRP convention with r recovered from the paired contrast."
quality_flags:
- "scenario_mapping_inferred_from_appendix_order"
notes: null
- effect_id: s1_e6
subgroup: "Train scenario (negative sentence)"
subgroup_desc: "Context effect for negative train knowledge self-ascription ('I don't know that it is the express'): Low vs High context (K3; mapping inferred from appendix order)."
design: "Within-Subjects"
moderators:
scenario: other
skeptical_pressure: "Yes"
awareness: "Yes"
evidence: "External"
attribution_person: "First Person"
evidence_reliability: "Medium"
moderators_coding:
scenario:
provenance:
page: 30
quote: "A.1.3 Train"
tei_id: null
table_ref: null
reason: "The raw archive labels this item as K3; that numeric id is mapped to the train vignette by appendix order, where A.1.3 is the third knowledge case."
skeptical_pressure:
provenance:
page: 31
quote: "High (error): But then Sid says, 'Maybe the ticket-seller misunderstood your question. Maybe you misunderstood the answer. I don’t want to be wrong about this.'"
tei_id: null
table_ref: null
reason: "The high-error train condition explicitly introduces the possibility that the testimony was misunderstood."
awareness:
provenance:
page: 30
quote: "High (stakes): They absolutely need to be in Providence, the sooner the better. Their career depends on it. ... High (stakes): 'If it does, we’ll miss our meeting in Providence'."
tei_id: null
table_ref: null
reason: "The high-stakes train condition explicitly makes the practical stakes salient to the protagonists."
evidence:
provenance:
page: 31
quote: "Johnny tells Sid that he remembers that the person who sold him the ticket said it was the express."
tei_id: null
table_ref: null
reason: "The belief is based on remembered testimony from the ticket seller."
attribution_person:
provenance:
page: 31
quote: "'I don't know that it is the express. I'd better go and make sure.'"
tei_id: null
table_ref: null
reason: "Participants evaluate a first-person self-ascription using the negative knowledge sentence."
evidence_reliability:
provenance:
page: 31
quote: "Johnny tells Sid that he remembers that the person who sold him the ticket said it was the express."
tei_id: null
table_ref: null
reason: "Remembered testimony from the ticket seller, with no extra verification, is an ordinary but fallible epistemic basis -> Medium."
contrast:
group_high: High
group_low: Low
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Archive-derived paired within-subject contrast after reproducing the original Analyses.R recoding and inclusion filter."
groups:
- group_id: Low
label: "Low context"
n: 38
mean: 64.5
sd: 28.2207418448
se: null
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
- group_id: High
label: "High context"
n: 38
mean: 71.0315789474
sd: 22.9133043527
se: null
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
reported_test:
test: "t"
t: -1.333711094431
f: null
chi2: null
z: null
df1: 37
df2: null
p: 0.190451026150
reported_d: null
reported_r: null
notes: "Archive-derived paired t after reproducing the original Analyses.R recoding/filtering; paired low/high r = 0.317072."
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
effect_size:
metric: SMD
d: -0.254103783945
v: 0.036411104162
computed_from: groups
needs_review: false
notes: "Computed from Analyses-SHARE raw data after reproducing the original Analyses.R recoding/filtering; within-subject d uses the project's SMCRP convention with r recovered from the paired contrast."
quality_flags:
- "scenario_mapping_inferred_from_appendix_order"
notes: null
- effect_id: s1_e7
subgroup: "Spelling/typos scenario (positive sentence)"
subgroup_desc: "Context effect for positive spelling/typos knowledge self-ascription ('I know that everything on it is spelled correctly'): Low vs High context (K4; mapping inferred from appendix order)."
design: "Within-Subjects"
moderators:
scenario: typos
skeptical_pressure: "Yes"
awareness: "Yes"
evidence: "First Person"
attribution_person: "First Person"
evidence_reliability: "High"
moderators_coding:
scenario:
provenance:
page: null
quote: "### A.1.4 Spelling"
tei_id: null
table_ref: null
reason: "The raw archive labels this item as K4; that numeric id is mapped to the spelling/typos vignette by appendix order."
skeptical_pressure:
provenance:
page: null
quote: "High (error): Before he hands it in, John's roommate reminds him that he might have missed some mistakes when he checked the paper."
tei_id: null
table_ref: null
reason: "The high-context variant explicitly raises the possibility of hidden spelling mistakes."
awareness:
provenance:
page: null
quote: "And he is well aware of this."
tei_id: null
table_ref: null
reason: "The vignette explicitly states that the protagonist is aware of the high stakes."
evidence:
provenance:
page: null
quote: "Even though John is a pretty good speller, he has a dictionary with him and he has checked the paper once to make sure it doesn't have any mistakes."
tei_id: null
table_ref: null
reason: "The evidence is generated by the protagonist's own checking and use of a dictionary."
attribution_person:
provenance:
page: null
quote: "'I will hand this paper in. I know that everything on it is spelled correctly'."
tei_id: null
table_ref: null
reason: "Participants evaluate a first-person self-ascription of knowledge."
evidence_reliability:
provenance:
page: null
quote: "Even though John is a pretty good speller, he has a dictionary with him and he has checked the paper once to make sure it doesn't have any mistakes."
tei_id: null
table_ref: null
reason: "A first-person checking/verification procedure with dictionary support is presented as a comparatively strong epistemic basis -> High."
contrast:
group_high: High
group_low: Low
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Archive-derived paired within-subject contrast after reproducing the original Analyses.R recoding and inclusion filter."
groups:
- group_id: Low
label: "Low context"
n: 39
mean: 76.2256410256
sd: 25.6152166736
se: null
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
- group_id: High
label: "High context"
n: 39
mean: 67.2358974359
sd: 30.1015429503
se: null
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
reported_test:
test: "t"
t: 2.304062195905
f: null
chi2: null
z: null
df1: 38
df2: null
p: 0.026780187959
reported_d: null
reported_r: null
notes: "Archive-derived paired t after reproducing the original Analyses.R recoding/filtering; paired low/high r = 0.628058."
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
effect_size:
metric: SMD
d: 0.321653379122
v: 0.019998789289
computed_from: groups
needs_review: false
notes: "Computed from Analyses-SHARE raw data after reproducing the original Analyses.R recoding/filtering; within-subject d uses the project's SMCRP convention with r recovered from the paired contrast."
quality_flags:
- "scenario_mapping_inferred_from_appendix_order"
notes: null
- effect_id: s1_e8
subgroup: "Spelling/typos scenario (negative sentence)"
subgroup_desc: "Context effect for negative spelling/typos knowledge self-ascription ('I don't know that everything on it is spelled correctly'): Low vs High context (K4; mapping inferred from appendix order)."
design: "Within-Subjects"
moderators:
scenario: typos
skeptical_pressure: "Yes"
awareness: "Yes"
evidence: "First Person"
attribution_person: "First Person"
evidence_reliability: "High"
moderators_coding:
scenario:
provenance:
page: null
quote: "### A.1.4 Spelling"
tei_id: null
table_ref: null
reason: "The raw archive labels this item as K4; that numeric id is mapped to the spelling/typos vignette by appendix order."
skeptical_pressure:
provenance:
page: null
quote: "High (error): Before he hands it in, John's roommate reminds him that he might have missed some mistakes when he checked the paper."
tei_id: null
table_ref: null
reason: "The high-context variant explicitly raises the possibility of hidden spelling mistakes."
awareness:
provenance:
page: null
quote: "And he is well aware of this."
tei_id: null
table_ref: null
reason: "The vignette explicitly states that the protagonist is aware of the high stakes."
evidence:
provenance:
page: null
quote: "Even though John is a pretty good speller, he has a dictionary with him and he has checked the paper once to make sure it doesn't have any mistakes."
tei_id: null
table_ref: null
reason: "The evidence is generated by the protagonist's own checking and use of a dictionary."
attribution_person:
provenance:
page: null
quote: "'I won't hand this paper in yet. I don't know that everything on it is spelled correctly'."
tei_id: null
table_ref: null
reason: "Participants evaluate a first-person self-ascription using the negative knowledge sentence."
evidence_reliability:
provenance:
page: null
quote: "Even though John is a pretty good speller, he has a dictionary with him and he has checked the paper once to make sure it doesn't have any mistakes."
tei_id: null
table_ref: null
reason: "A first-person checking/verification procedure with dictionary support is presented as a comparatively strong epistemic basis -> High."
contrast:
group_high: High
group_low: Low
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Archive-derived paired within-subject contrast after reproducing the original Analyses.R recoding and inclusion filter."
groups:
- group_id: Low
label: "Low context"
n: 37
mean: 67.7405405405
sd: 29.734897749
se: null
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
- group_id: High
label: "High context"
n: 37
mean: 71.5027027027
sd: 30.1059839612
se: null
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
reported_test:
test: "t"
t: -0.752012652975
f: null
chi2: null
z: null
df1: 36
df2: null
p: 0.456932319114
reported_d: null
reported_r: null
notes: "Archive-derived paired t after reproducing the original Analyses.R recoding/filtering; paired low/high r = 0.482855."
provenance:
page: null
quote: null
tei_id: null
table_ref: "Analyses-SHARE/raw-results-pro.txt + raw-results-anti.txt"
effect_size:
metric: SMD
d: -0.125736443703
v: 0.028085528124
computed_from: groups
needs_review: false
notes: "Computed from Analyses-SHARE raw data after reproducing the original Analyses.R recoding/filtering; within-subject d uses the project's SMCRP convention with r recovered from the paired contrast."
quality_flags:
- "scenario_mapping_inferred_from_appendix_order"
notes: null