| paper_id | pinillossimpsonndexperimentalevidencesupporting |
|---|---|
| short_label | Pinillos & Simpson (n.d.) |
| citation | Pinillos, Á., & Simpson, S. (n.d.). Experimental Evidence Supporting Anti-intellectualism About Knowledge. In Advances in Experimental Epistemology. |
| doi | — |
| year | — |
| published | — |
| language | English |
| language_other | — |
| research_objective | Provide experimental evidence for anti-intellectualism about knowledge by testing whether folk judgments about when an agent knows are sensitive to practical interests (stakes), using evidence-seeking and agreement paradigms, and by addressing objections to evidence-seeking probes. |
| data_available_online | — |
| data_url | — |
| notes | Year/venue details were not recoverable from the provided PDF text/metadata; keep as n.d. pending manual bibliographic completion. |
| study_id | 1 |
|---|---|
| label | Study 1, Experiment 1 (Water purifier; evidence-seeking) |
| objective | Test whether participants require more evidence for knowledge under higher stakes (water purifier vignette; numeric evidence-seeking prompt). |
| design | Between-Subjects |
| design_other | Two independent conditions: Low Stakes vs High Stakes. |
| manipulated_factors | — |
| paradigm | Rating how much evidence is needed for knowledge |
| paradigm_other | — |
| notes | — |
| n_final | 94 |
|---|---|
| recruitment | mTurk |
| recruitment_other | — |
| compensation | money |
| compensation_other | 15 cents (US) |
| characteristics | Amazon Turk workers; initial N=141; exclusions reported; computed statistics for N=94. |
| mean_age | — |
| page | 10 |
|---|---|
| table_ref | — |
| tei_id | — |
| label | other |
|---|---|
| points | — |
| anchors | Numeric free response (whole number). Instructions: write “0” if already knows; write “never” if never knows. |
| direction | Higher numbers indicate more checks/comparisons required (more evidence needed for knowledge). |
| page | 11 |
|---|---|
| table_ref | — |
| tei_id | — |
| knowledge_question_text | (Opinion question) Suppose Brian goes back and compares his entire written copy to the instructions online, and he can do this as many times as he wants. After how many comparisons will Brian know he has written them down correctly? |
|---|---|
| knowledge_question_first | — |
| additional_question_text | — |
water_purifier · Installing a water purifier; high-stakes manipulation involves unknown poisoning risk.| scenario_code | water_purifier |
|---|---|
| scenario_type | Installing a water purifier; high-stakes manipulation involves unknown poisoning risk. |
| page | 10 |
|---|---|
| table_ref | — |
| tei_id | — |
s1_e1 · Water purifier — evidence-seeking knowledge · Between-Subjects · d=-0.554440139474935 · v=0.0442431369651865| effect_id | s1_e1 |
|---|---|
| subgroup | Water purifier — evidence-seeking knowledge |
| subgroup_desc | Number of comparisons required for knowledge |
| design | Between-Subjects |
| design_other | — |
| quality_flags | — |
| notes | — |
| metric | SMD |
|---|---|
| d | -0.554440139474935 |
| v | 0.0442431369651865 |
| computed_from | groups |
| needs_review | false |
| notes | Computed from group means/SDs/Ns in analysis/effect_sizes.qmd (method=between_groups). |
| scenario | other |
|---|---|
| skeptical_pressure | No |
| awareness | No |
| evidence | First Person |
| attribution_person | Other |
| evidence_reliability | High |
| group_high | WaterPurifier_high |
|---|---|
| group_low | WaterPurifier_low |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Outcome is number of comparisons/checks; higher scores indicate more evidence needed. |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | other | The vignette is about a water purifier/poisoning scenario, not a bank/peanuts/bridge/typos vignette. | Provenance
Brian... is installing a water purifier at home... in High Stakes... the water supply has been poisoned. | ||||||
skeptical_pressure | No | No explicit alternative/error possibility is raised as a live option; the manipulation concerns consequences. | Provenance
After how many comparisons will Brian know he has written them down correctly? | ||||||
awareness | No | High-stakes consequences are explicitly unknown to the protagonist. | Provenance
However, Brian is ignorant of these high stakes. | ||||||
evidence | First Person | The evidence is generated by the agent’s own checking/comparing (first-person evidence). | Provenance
Suppose Brian goes back and compares his entire written copy to the instructions online... | ||||||
attribution_person | Other | Participants attribute knowledge to Brian (third-person attribution). | Provenance
After how many comparisons will Brian know... | ||||||
evidence_reliability | High | Repeated direct comparison to the online instructions suggests relatively high reliability of the checking process. | Provenance
he can do this as many times as he wants. |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
WaterPurifier_low | Low stakes | 46 | 0.72 | 0.72 | — | Provenance
Low Stakes (N 46, m 0.72, sd 0.72) | ||||||
WaterPurifier_high | High stakes (protagonist unaware) | 48 | 1.29 | 1.254 | — | Provenance
High Stakes (N 48, m 1.29, sd 1.254) |
| test | t |
|---|---|
| t | -2.7 |
| f | — |
| chi2 | — |
| z | — |
| df1 | 75.54 |
| df2 | — |
| p | — |
| reported_d | 0.54 |
| reported_r | — |
| notes | Reported as p < 0.01. Paper’s reported Cohen’s d is unsigned/positive; extraction uses sign convention d = mean(low) - mean(high). |
| page | 11 |
|---|---|
| table_ref | — |
| tei_id | — |
| study_id | 2 |
|---|---|
| label | Study 1, Experiment 2 (Airplane; evidence-seeking; stakes × probability) |
| objective | Test whether participants require more evidence for knowledge under higher stakes and/or higher probability of negative outcomes (airline roster vignette; 2×2 between-subjects). |
| design | Between-Subjects |
| design_other | 2 (stakes: low vs high) × 2 (probability: low vs high) between-subjects. |
| manipulated_factors | Probability of outcome: low vs high |
| paradigm | Rating how much evidence is needed for knowledge |
| paradigm_other | — |
| notes | — |
| n_final | 230 |
|---|---|
| recruitment | students |
| recruitment_other | Volunteer students taking introductory courses at Arizona State University (randomly distributed surveys). |
| compensation | — |
| compensation_other | — |
| characteristics | Four conditions (LSLP/LSHP/HSLP/HSHP); initial surveys distributed total=305; exclusions reported; computed statistics for N=230. |
| mean_age | — |
| page | 13 |
|---|---|
| table_ref | Figure 1.1 |
| tei_id | — |
| label | other |
|---|---|
| points | — |
| anchors | Numeric free response: number of additional roster surveys (whole number) or “never”. |
| direction | Higher numbers indicate more evidence needed for knowledge. |
| page | 13 |
|---|---|
| table_ref | — |
| tei_id | — |
| knowledge_question_text | How many more times do you think Jessie needs to survey the entire roster before he knows the name is not on the list? |
|---|---|
| knowledge_question_first | — |
| additional_question_text | — |
airplane_roster · Airline steward checks passenger roster; stakes and probability of hijacking (high) vs first-class upgrade acceptance (low).| scenario_code | airplane_roster |
|---|---|
| scenario_type | Airline steward checks passenger roster; stakes and probability of hijacking (high) vs first-class upgrade acceptance (low). |
| page | 13 |
|---|---|
| table_ref | — |
| tei_id | — |
s2_e1 · Airplane — Low probability (LSLP vs HSLP) · Between-Subjects · d=-0.345434178152552 · v=0.0369408039598129| effect_id | s2_e1 |
|---|---|
| subgroup | Airplane — Low probability (LSLP vs HSLP) |
| subgroup_desc | Evidence-seeking: roster checks required for knowledge (low probability) |
| design | Between-Subjects |
| design_other | — |
| quality_flags | — |
| notes | — |
| metric | SMD |
|---|---|
| d | -0.345434178152552 |
| v | 0.0369408039598129 |
| computed_from | groups |
| needs_review | false |
| notes | Computed from group means/SDs/Ns in analysis/effect_sizes.qmd (method=between_groups). |
| scenario | other |
|---|---|
| skeptical_pressure | No |
| awareness | No |
| evidence | First Person |
| attribution_person | Other |
| evidence_reliability | High |
| group_high | HSLP |
|---|---|
| group_low | LSLP |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Probability held constant at low probability; outcome is number of additional roster surveys required. |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | other | The scenario is an airplane/roster vignette (not bank/peanuts/bridge/typos). | Provenance
They are about an airline steward, Jessie, who is assigned to find a name on a roster of 200 passengers before a flight. | ||||||
skeptical_pressure | No | No explicit alternative/error possibility is raised as a conversational challenge; stakes/probability are manipulated as consequences. | Provenance
How many more times do you think Jessie needs to survey the entire roster before he knows the name is not on the list... | ||||||
awareness | No | The protagonist is explicitly unaware of the stake-relevant facts and probabilities. | Provenance
Again, Jessie is unaware that the name belongs to a nice guy/hijacker and unaware of the probability... | ||||||
evidence | First Person | Evidence is generated by the agent’s own repeated surveying of the roster (first-person). | Provenance
How many more times do you think Jessie needs to survey the entire roster... | ||||||
attribution_person | Other | Participants attribute knowledge to Jessie (third-person attribution). | Provenance
before he knows the name is not on the list | ||||||
evidence_reliability | High | Checking a fixed roster (repeatedly) suggests relatively high reliability of the evidence source/process. | Provenance
a roster of 200 passengers |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
LSLP | Low stakes — low probability | 50 | 1.6 | 0.969 | — | Provenance
LSLP (N 50, m 1.6, sd 0.969) | ||||||
HSLP | High stakes — low probability | 61 | 1.93 | 0.944 | — | Provenance
HSLP (N 61, m 1.93, sd 0.944) |
| test | — |
|---|---|
| t | — |
| f | — |
| chi2 | — |
| z | — |
| df1 | — |
| df2 | — |
| p | — |
| reported_d | — |
| reported_r | — |
| notes | No simple-effect test for LSLP vs HSLP reported; paper reports an overall main effect for stakes across probability conditions. |
| page | 14 |
|---|---|
| table_ref | — |
| tei_id | — |
s2_e2 · Airplane — High probability (LSHP vs HSHP) · Between-Subjects · d=-0.387959471896737 · v=0.034278037966776| effect_id | s2_e2 |
|---|---|
| subgroup | Airplane — High probability (LSHP vs HSHP) |
| subgroup_desc | Evidence-seeking: roster checks required for knowledge (high probability) |
| design | Between-Subjects |
| design_other | — |
| quality_flags | — |
| notes | — |
| metric | SMD |
|---|---|
| d | -0.387959471896737 |
| v | 0.034278037966776 |
| computed_from | groups |
| needs_review | false |
| notes | Computed from group means/SDs/Ns in analysis/effect_sizes.qmd (method=between_groups). |
| scenario | other |
|---|---|
| skeptical_pressure | No |
| awareness | No |
| evidence | First Person |
| attribution_person | Other |
| evidence_reliability | High |
| group_high | HSHP |
|---|---|
| group_low | LSHP |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Probability held constant at high probability; outcome is number of additional roster surveys required. |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | other | The scenario is an airplane/roster vignette (not bank/peanuts/bridge/typos). | Provenance
They are about an airline steward, Jessie, who is assigned to find a name on a roster of 200 passengers before a flight. | ||||||
skeptical_pressure | No | No explicit alternative/error possibility is raised as a conversational challenge; stakes/probability are manipulated as consequences. | Provenance
How many more times do you think Jessie needs to survey the entire roster before he knows the name is not on the list... | ||||||
awareness | No | The protagonist is explicitly unaware of the stake-relevant facts and probabilities. | Provenance
Again, Jessie is unaware that the name belongs to a nice guy/hijacker and unaware of the probability... | ||||||
evidence | First Person | Evidence is generated by the agent’s own repeated surveying of the roster (first-person). | Provenance
How many more times do you think Jessie needs to survey the entire roster... | ||||||
attribution_person | Other | Participants attribute knowledge to Jessie (third-person attribution). | Provenance
before he knows the name is not on the list | ||||||
evidence_reliability | High | Checking a fixed roster (repeatedly) suggests relatively high reliability of the evidence source/process. | Provenance
a roster of 200 passengers |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
LSHP | Low stakes — high probability | 58 | 1.76 | 0.823 | — | Provenance
LSHP (N 58, m 1.76, sd 0.823) | ||||||
HSHP | High stakes — high probability | 61 | 2.15 | 1.152 | — | Provenance
HSHP (N 61, m 2.15, sd 1.152) |
| test | — |
|---|---|
| t | — |
| f | — |
| chi2 | — |
| z | — |
| df1 | — |
| df2 | — |
| p | — |
| reported_d | — |
| reported_r | — |
| notes | No simple-effect test for LSHP vs HSHP reported; paper reports an overall main effect for stakes across probability conditions. |
| page | 14 |
|---|---|
| table_ref | — |
| tei_id | — |
| study_id | 3 |
|---|---|
| label | Study 2 (Coin; agreement with knowledge ascription) |
| objective | Test whether stakes affect agreement with a knowledge ascription in a coin-counting vignette. |
| design | Between-Subjects |
| design_other | Two independent conditions: Low stakes vs High stakes. |
| manipulated_factors | — |
| paradigm | Agreement with knowledge claim |
| paradigm_other | — |
| notes | — |
| n_final | — |
|---|---|
| recruitment | mTurk |
| recruitment_other | — |
| compensation | — |
| compensation_other | — |
| characteristics | Amazon Turk workers in the United States; coin-counting vignette; Table 1.1 reports group Ns. |
| mean_age | — |
| page | 15 |
|---|---|
| table_ref | — |
| tei_id | — |
| label | Likert 7-point |
|---|---|
| points | 7 |
| anchors | 0–6; 6 = strongly agree; 3 = neutral |
| direction | Higher numbers indicate stronger agreement with the knowledge ascription. |
| page | 15 |
|---|---|
| table_ref | — |
| tei_id | — |
| knowledge_question_text | To what extent do you agree with the statement: "PETER KNOWS THERE ARE 134 COINS IN THE JAR" |
|---|---|
| knowledge_question_first | — |
| additional_question_text | — |
coin · Counting coins in a jar for a contest; stakes manipulation via prize importance and mother’s operation.| scenario_code | coin |
|---|---|
| scenario_type | Counting coins in a jar for a contest; stakes manipulation via prize importance and mother’s operation. |
| page | 15 |
|---|---|
| table_ref | — |
| tei_id | — |
s3_e1 · Coin — knowledge ascription agreement · Between-Subjects · d=0.348076772822079 · v=0.0246864142823528| effect_id | s3_e1 |
|---|---|
| subgroup | Coin — knowledge ascription agreement |
| subgroup_desc | Agreement with knowledge statement (Likert 0–6) |
| design | Between-Subjects |
| design_other | — |
| quality_flags | — |
| notes | — |
| metric | SMD |
|---|---|
| d | 0.348076772822079 |
| v | 0.0246864142823528 |
| computed_from | groups |
| needs_review | false |
| notes | Computed from Table 1.1 group means/SDs/Ns in analysis/effect_sizes.qmd (method=between_groups). |
| scenario | other |
|---|---|
| skeptical_pressure | Yes |
| awareness | No |
| evidence | First Person |
| attribution_person | Other |
| evidence_reliability | — |
| group_high | Coin_high |
|---|---|
| group_low | Coin_low |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Outcome is agreement with the knowledge statement; higher scores indicate more agreement. |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | other | The vignette concerns coin-counting (not bank/peanuts/bridge/typos). | Provenance
Coin... count the coins in a jar. The jar contains 134 coins. | ||||||
skeptical_pressure | Yes | A friend explicitly denies knowledge and challenges the adequacy of the evidence. | Provenance
His friend... says to Peter “you only counted once... you don’t know there are 134 coins in the jar... You should count them again.” | ||||||
awareness | No | The paper states protagonists are ignorant/mistaken about the stakes in both low/high conditions. | Provenance
the protagonist is ignorant of what is at stake... the protagonist is always mistaken about what is at stake | ||||||
evidence | First Person | Evidence is generated by the agent’s own counting (first-person evidence). | Provenance
After counting the coins just once, Peter concludes there are 134 coins in the jar. | ||||||
attribution_person | Other | Participants judge a third-person knowledge ascription. | Provenance
"PETER KNOWS THERE ARE 134 COINS IN THE JAR" | ||||||
evidence_reliability | — | Reliability of the evidence source is not explicitly characterized beyond a single count; coded as null. | Provenance
After counting the coins just once... |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Coin_low | Low stakes | 87 | 3.68 | 1.8 | — | Provenance
Coin (Likert: 0–6) N 87, m 3.68, sd 1.80 | ||||||
Coin_high | High stakes | 78 | 3.06 | 1.76 | — | Provenance
Coin (Likert: 0–6) N 78, m 3.06, sd 1.76 |
| test | t |
|---|---|
| t | 2.23 |
| f | — |
| chi2 | — |
| z | — |
| df1 | 161.78 |
| df2 | — |
| p | 0.023 |
| reported_d | 0.35 |
| reported_r | — |
| notes | — |
| page | 17 |
|---|---|
| table_ref | — |
| tei_id | — |
| study_id | 4 |
|---|---|
| label | Study 2 (Air; agreement with knowledge ascription) |
| objective | Test whether stakes affect agreement with a knowledge ascription in the Air probe. |
| design | Between-Subjects |
| design_other | Two independent conditions: Low stakes vs High stakes. |
| manipulated_factors | — |
| paradigm | Agreement with knowledge claim |
| paradigm_other | — |
| notes | — |
| n_final | — |
|---|---|
| recruitment | mTurk |
| recruitment_other | — |
| compensation | — |
| compensation_other | — |
| characteristics | Amazon Turk workers in the United States; Air probe vignette text referenced as Web Appendix; Table 1.1 reports group Ns. |
| mean_age | — |
| page | 15 |
|---|---|
| table_ref | — |
| tei_id | — |
| label | Likert 5-point |
|---|---|
| points | 5 |
| anchors | 0–4; 4 = strongly agree; 2 = neutral |
| direction | Higher numbers indicate stronger agreement with the knowledge ascription. |
| page | 15 |
|---|---|
| table_ref | — |
| tei_id | — |
| knowledge_question_text | — |
|---|---|
| knowledge_question_first | — |
| additional_question_text | — |
air · Air probe (vignette text not included; referenced as Web Appendix).| scenario_code | air |
|---|---|
| scenario_type | Air probe (vignette text not included; referenced as Web Appendix). |
| page | 15 |
|---|---|
| table_ref | — |
| tei_id | — |
s4_e1 · Air — knowledge ascription agreement · Between-Subjects · d=0.128243714633482 · v=0.0734884885252484 · needs_review| effect_id | s4_e1 |
|---|---|
| subgroup | Air — knowledge ascription agreement |
| subgroup_desc | Agreement with knowledge statement (Likert 0–4) |
| design | Between-Subjects |
| design_other | — |
| quality_flags | — |
| notes | — |
| metric | SMD |
|---|---|
| d | 0.128243714633482 |
| v | 0.0734884885252484 |
| computed_from | groups |
| needs_review | true |
| notes | Computed from Table 1.1 group means/SDs/Ns in analysis/effect_sizes.qmd (method=between_groups). Vignette text is in Web Appendix (not included), limiting moderator coding. |
| scenario | other |
|---|---|
| skeptical_pressure | — |
| awareness | No |
| evidence | First Person |
| attribution_person | Other |
| evidence_reliability | — |
| group_high | Air_high |
|---|---|
| group_low | Air_low |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Outcome is agreement with the knowledge statement; higher scores indicate more agreement. |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | other | Probe is labeled 'Air'; the vignette is not bank/peanuts/bridge/typos. | Provenance
We developed three pairs of vignettes (Coin, Air, and Bridge) | ||||||
skeptical_pressure | — | Air vignette text is not provided in the PDF (Web appendix referenced), so skeptical-pressure wording cannot be verified. | Provenance
see the Web appendix for the others | ||||||
awareness | No | Paper explicitly states protagonists are ignorant of the stakes in Study 2 vignettes. | Provenance
in both the low-stakes and high-stakes conditions, the protagonist is ignorant of what is at stake. | ||||||
evidence | First Person | The Air probe involves the agent looking through a roster, indicating first-person evidence from the agent’s own checking. | Provenance
The normative prompt for AIR was “Do you think Jason should look through the entire roster at least one more time?” | ||||||
attribution_person | Other | The DV is agreement with a third-person knowledge ascription. | Provenance
Subjects are asked about the extent to which they agree or disagree with a statement that says that the protagonist knows P. | ||||||
evidence_reliability | — | Air vignette text is not provided in the PDF (Web appendix referenced), so evidence reliability cannot be coded. | Provenance
see the Web appendix for the others |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Air_low | Low stakes | 25 | 2.16 | 1.03 | — | Provenance
Air (Likert 0–4) N 25, m 2.16, sd 1.03 | ||||||
Air_high | High stakes | 30 | 2.03 | 1.0 | — | Provenance
Air (Likert 0–4) N 30, m 2.03, sd 1.0 |
| test | t |
|---|---|
| t | 0.462 |
| f | — |
| chi2 | — |
| z | — |
| df1 | 53.0 |
| df2 | — |
| p | 0.646 |
| reported_d | — |
| reported_r | — |
| notes | — |
| page | 32 |
|---|---|
| table_ref | — |
| tei_id | — |
| study_id | 5 |
|---|---|
| label | Study 2 (Bridge; agreement with knowledge ascription) |
| objective | Test whether stakes affect agreement with a knowledge ascription in the Bridge probe. |
| design | Between-Subjects |
| design_other | Two independent conditions: Low stakes vs High stakes. |
| manipulated_factors | — |
| paradigm | Agreement with knowledge claim |
| paradigm_other | — |
| notes | — |
| n_final | — |
|---|---|
| recruitment | mTurk |
| recruitment_other | — |
| compensation | — |
| compensation_other | — |
| characteristics | Amazon Turk workers in the United States; Bridge vignette text referenced as Web Appendix; Table 1.1 reports group Ns. |
| mean_age | — |
| page | 15 |
|---|---|
| table_ref | — |
| tei_id | — |
| label | Likert 5-point |
|---|---|
| points | 5 |
| anchors | 0–4; 4 = strongly agree; 2 = neutral |
| direction | Higher numbers indicate stronger agreement with the knowledge ascription. |
| page | 15 |
|---|---|
| table_ref | — |
| tei_id | — |
| knowledge_question_text | — |
|---|---|
| knowledge_question_first | — |
| additional_question_text | — |
bridge · Bridge probe (vignette text not included; referenced as Web Appendix).| scenario_code | bridge |
|---|---|
| scenario_type | Bridge probe (vignette text not included; referenced as Web Appendix). |
| page | 15 |
|---|---|
| table_ref | — |
| tei_id | — |
s5_e1 · Bridge — knowledge ascription agreement · Between-Subjects · d=0.53307299757469 · v=0.0704650416404434 · needs_review| effect_id | s5_e1 |
|---|---|
| subgroup | Bridge — knowledge ascription agreement |
| subgroup_desc | Agreement with knowledge statement (Likert 0–4) |
| design | Between-Subjects |
| design_other | — |
| quality_flags | — |
| notes | — |
| metric | SMD |
|---|---|
| d | 0.53307299757469 |
| v | 0.0704650416404434 |
| computed_from | groups |
| needs_review | true |
| notes | Computed from Table 1.1 group means/SDs/Ns in analysis/effect_sizes.qmd (method=between_groups). Vignette text is in Web Appendix (not included), limiting moderator coding. |
| scenario | bridge |
|---|---|
| skeptical_pressure | — |
| awareness | No |
| evidence | — |
| attribution_person | Other |
| evidence_reliability | — |
| group_high | Bridge_high |
|---|---|
| group_low | Bridge_low |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Outcome is agreement with the knowledge statement; higher scores indicate more agreement. |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | bridge | Probe is explicitly labeled Bridge; coded as the bridge scenario. | Provenance
We developed three pairs of vignettes (Coin, Air, and Bridge) | ||||||
skeptical_pressure | — | Bridge vignette text is not provided in the PDF (Web appendix referenced), so skeptical-pressure wording cannot be verified. | Provenance
see the Web appendix for the others | ||||||
awareness | No | Paper explicitly states protagonists are ignorant of the stakes in Study 2 vignettes. | Provenance
in both the low-stakes and high-stakes conditions, the protagonist is ignorant of what is at stake. | ||||||
evidence | — | Bridge vignette text is not provided in the PDF (Web appendix referenced), so evidence source cannot be coded. | Provenance
see the Web appendix for the others | ||||||
attribution_person | Other | The DV is agreement with a third-person knowledge ascription. | Provenance
Subjects are asked about the extent to which they agree or disagree with a statement that says that the protagonist knows P. | ||||||
evidence_reliability | — | Bridge vignette text is not provided in the PDF (Web appendix referenced), so evidence reliability cannot be coded. | Provenance
see the Web appendix for the others |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Bridge_low | Low stakes | 28 | 2.32 | 1.16 | — | Provenance
Bridge (Likert 0–4) N 28, m 2.32, sd 1.16 | ||||||
Bridge_high | High stakes | 31 | 1.71 | 1.13 | — | Provenance
Bridge (Likert 0–4) N 31, m 1.71, sd 1.13 |
| test | t |
|---|---|
| t | 2.053 |
| f | — |
| chi2 | — |
| z | — |
| df1 | 57.0 |
| df2 | — |
| p | — |
| reported_d | 0.53 |
| reported_r | — |
| notes | p-value not reported in the extracted text for this t-test. |
| page | 17 |
|---|---|
| table_ref | — |
| tei_id | — |
| study_id | 6 |
|---|---|
| label | Modal-reading test (Typo; evidence-seeking; Knows vs Hopes) |
| objective | Test whether stakes effects on evidence-seeking prompts can be explained by a ‘modal reading’ by presenting Knows and Hopes prompts side-by-side; includes a stakes contrast for the Knows question. |
| design | — |
| design_other | Mixed: stakes manipulated between-subjects (low vs high Typo vignette); Knows vs Hopes prompts asked to the same participants (order manipulated). |
| manipulated_factors | Question type: Knows vs Hopes (within-subjects); Question order (between-subjects) |
| paradigm | Rating how much evidence is needed for knowledge |
| paradigm_other | — |
| notes | — |
| n_final | — |
|---|---|
| recruitment | — |
| recruitment_other | — |
| compensation | — |
| compensation_other | — |
| characteristics | Participant source/compensation not reported in the extracted text; stakes manipulated via low vs high typo vignette; Knows/Hopes prompts asked. |
| mean_age | — |
| page | 26 |
|---|---|
| table_ref | — |
| tei_id | — |
| label | other |
|---|---|
| points | — |
| anchors | Numeric free response: number of proofreads required before the agent knows; whole number. |
| direction | Higher numbers indicate more evidence needed for knowledge. |
| page | 22 |
|---|---|
| table_ref | — |
| tei_id | — |
| knowledge_question_text | How many times do you think Peter has to proofread his paper before he knows that there are no typos? |
|---|---|
| knowledge_question_first | — |
| additional_question_text | How many times do you think Peter has to proofread his paper before he hopes that there are no typos? |
typos · Proofreading for typos; stakes vary with consequences of a typo.| scenario_code | typos |
|---|---|
| scenario_type | Proofreading for typos; stakes vary with consequences of a typo. |
| page | 22 |
|---|---|
| table_ref | — |
| tei_id | — |
s6_e1 · Typo — evidence-seeking knowledge (Knows question) · Between-Subjects · d=-1.0011358164739 · v=0.0652687440029404 · needs_review| effect_id | s6_e1 |
|---|---|
| subgroup | Typo — evidence-seeking knowledge (Knows question) |
| subgroup_desc | Number of proofreads required for knowledge |
| design | Between-Subjects |
| design_other | — |
| quality_flags | — |
| notes | — |
| metric | SMD |
|---|---|
| d | -1.0011358164739 |
| v | 0.0652687440029404 |
| computed_from | groups |
| needs_review | true |
| notes | Computed from group means/SDs/Ns in analysis/effect_sizes.qmd (method=between_groups). Participant recruitment/compensation not reported in extracted text. |
| scenario | typos |
|---|---|
| skeptical_pressure | No |
| awareness | — |
| evidence | First Person |
| attribution_person | Other |
| evidence_reliability | — |
| group_high | Typo_high |
|---|---|
| group_low | Typo_low |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Outcome is number of proofreads required; higher scores indicate more evidence needed for knowledge. |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | typos | The vignette is explicitly about proofreading for typos. | Provenance
a student Peter... turn in a paper for an English class... proofread his paper... no typos | ||||||
skeptical_pressure | No | No explicit skeptical challenge/alternative is presented; the manipulation concerns consequences of error. | Provenance
How many times do you think Peter has to proofread his paper before he knows that there are no typos? | ||||||
awareness | — | The description does not explicitly state whether Peter is aware of the high-stakes consequences; coded as null. | Provenance
the cost of having a single typo is high... and... low | ||||||
evidence | First Person | Evidence is generated by the agent’s own proofreading/checking (first-person evidence). | Provenance
proofread his paper | ||||||
attribution_person | Other | Participants attribute knowledge to Peter (third-person attribution). | Provenance
before he knows that there are no typos | ||||||
evidence_reliability | — | Evidence reliability details (e.g., spelling ability/tools) are not specified in the extracted text; coded as null. | Provenance
proofread his paper |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Typo_low | Low stakes | 39 | 3.31 | 0.86 | — | Provenance
The mean for the Knows low-stakes response was 3.31 (N 39, SD 0.86). | ||||||
Typo_high | High stakes | 31 | 4.42 | 1.36 | — | Provenance
The mean for the Knows high-stakes response was 4.42 (N 31, SD 1.36). |
| test | t |
|---|---|
| t | 3.95 |
| f | — |
| chi2 | — |
| z | — |
| df1 | 48.35 |
| df2 | — |
| p | — |
| reported_d | — |
| reported_r | — |
| notes | Reported as p < 0.01. |
| page | 26 |
|---|---|
| table_ref | — |
| tei_id | — |
schema_version: "1.1"
paper:
paper_id: pinillossimpsonndexperimentalevidencesupporting
citation: "Pinillos, Á., & Simpson, S. (n.d.). Experimental Evidence Supporting Anti-intellectualism About Knowledge. In Advances in Experimental Epistemology."
short_label: "Pinillos & Simpson (n.d.)"
doi: null
published: null
year: null
language: "English"
language_other: null
research_objective: "Provide experimental evidence for anti-intellectualism about knowledge by testing whether folk judgments about when an agent knows are sensitive to practical interests (stakes), using evidence-seeking and agreement paradigms, and by addressing objections to evidence-seeking probes."
data_availability:
data_available_online: null
url: null
notes: null
notes: "Year/venue details were not recoverable from the provided PDF text/metadata; keep as n.d. pending manual bibliographic completion."
studies:
- study_id: 1
label: "Study 1, Experiment 1 (Water purifier; evidence-seeking)"
objective: "Test whether participants require more evidence for knowledge under higher stakes (water purifier vignette; numeric evidence-seeking prompt)."
sample:
n_final: 94
recruitment: "mTurk"
recruitment_other: null
compensation: "money"
compensation_other: "15 cents (US)"
characteristics: "Amazon Turk workers; initial N=141; exclusions reported; computed statistics for N=94."
mean_age: null
mean_age_prov:
page: null
quote: null
tei_id: null
table_ref: null
provenance:
page: 10
quote: "A total of 141 subjects from Amazon Turk were paid 15 cents (US) each to take exactly one of two surveys."
tei_id: null
table_ref: null
design: "Between-Subjects"
design_other: "Two independent conditions: Low Stakes vs High Stakes."
manipulated_factors: []
paradigm: "Rating how much evidence is needed for knowledge"
paradigm_other: null
scale:
label: other
points: null
anchors: "Numeric free response (whole number). Instructions: write “0” if already knows; write “never” if never knows."
direction: "Higher numbers indicate more checks/comparisons required (more evidence needed for knowledge)."
provenance:
page: 11
quote: "After how many comparisons will Brian know he has written them down correctly? ... (Note: If you think Brian already knows, write “0.” If you think he’ll never know, no matter how many times he checks, write “never”)."
tei_id: null
table_ref: null
measures:
knowledge_question_text: "(Opinion question) Suppose Brian goes back and compares his entire written copy to the instructions online, and he can do this as many times as he wants. After how many comparisons will Brian know he has written them down correctly?"
knowledge_question_first: null
additional_question_text: null
scenarios:
- scenario_code: water_purifier
scenario_type: "Installing a water purifier; high-stakes manipulation involves unknown poisoning risk."
high_stakes_text: "In High Stakes, it is also the case that the water supply has been poisoned... If Brian fails to assemble the water purifier properly, he and his family might die. However, Brian is ignorant of these high stakes."
low_stakes_text: "Low Stakes: Brian installs the purifier because he does not like the taste of tap water."
provenance:
page: 10
quote: "They both concern a protagonist, Brian, who is installing a water purifier... However, in High Stakes, it is also the case that the water supply has been poisoned... he and his family might die. However, Brian is ignorant of these high stakes."
tei_id: null
table_ref: null
effects:
- effect_id: s1_e1
subgroup: "Water purifier — evidence-seeking knowledge"
subgroup_desc: "Number of comparisons required for knowledge"
design: "Between-Subjects"
design_other: null
moderators:
scenario: other
skeptical_pressure: "No"
awareness: "No"
evidence: "First Person"
attribution_person: "Other"
evidence_reliability: "High"
moderators_coding:
scenario:
provenance:
page: 10
quote: "Brian... is installing a water purifier at home... in High Stakes... the water supply has been poisoned."
tei_id: null
table_ref: null
reason: "The vignette is about a water purifier/poisoning scenario, not a bank/peanuts/bridge/typos vignette."
skeptical_pressure:
provenance:
page: 11
quote: "After how many comparisons will Brian know he has written them down correctly?"
tei_id: null
table_ref: null
reason: "No explicit alternative/error possibility is raised as a live option; the manipulation concerns consequences."
awareness:
provenance:
page: 10
quote: "However, Brian is ignorant of these high stakes."
tei_id: null
table_ref: null
reason: "High-stakes consequences are explicitly unknown to the protagonist."
evidence:
provenance:
page: 11
quote: "Suppose Brian goes back and compares his entire written copy to the instructions online..."
tei_id: null
table_ref: null
reason: "The evidence is generated by the agent’s own checking/comparing (first-person evidence)."
attribution_person:
provenance:
page: 11
quote: "After how many comparisons will Brian know..."
tei_id: null
table_ref: null
reason: "Participants attribute knowledge to Brian (third-person attribution)."
evidence_reliability:
provenance:
page: 11
quote: "he can do this as many times as he wants."
tei_id: null
table_ref: null
reason: "Repeated direct comparison to the online instructions suggests relatively high reliability of the checking process."
contrast:
group_high: WaterPurifier_high
group_low: WaterPurifier_low
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Outcome is number of comparisons/checks; higher scores indicate more evidence needed."
groups:
- group_id: WaterPurifier_low
label: "Low stakes"
n: 46
mean: 0.72
sd: 0.72
se: null
provenance:
page: 11
quote: "Low Stakes (N 46, m 0.72, sd 0.72)"
tei_id: null
table_ref: null
- group_id: WaterPurifier_high
label: "High stakes (protagonist unaware)"
n: 48
mean: 1.29
sd: 1.254
se: null
provenance:
page: 11
quote: "High Stakes (N 48, m 1.29, sd 1.254)"
tei_id: null
table_ref: null
reported_test:
test: t
t: -2.70
f: null
chi2: null
z: null
df1: 75.54
df2: null
p: null
reported_d: 0.54
reported_r: null
notes: "Reported as p < 0.01. Paper’s reported Cohen’s d is unsigned/positive; extraction uses sign convention d = mean(low) - mean(high)."
provenance:
page: 11
quote: "t(75.54) 2.70, p 0.01. Cohen’s d 0.54 (this is a medium-size effect)."
tei_id: null
table_ref: null
effect_size:
metric: SMD
d: -0.554440139474935
v: 0.0442431369651865
computed_from: groups
needs_review: false
notes: "Computed from group means/SDs/Ns in analysis/effect_sizes.qmd (method=between_groups)."
quality_flags: []
notes: null
- study_id: 2
label: "Study 1, Experiment 2 (Airplane; evidence-seeking; stakes × probability)"
objective: "Test whether participants require more evidence for knowledge under higher stakes and/or higher probability of negative outcomes (airline roster vignette; 2×2 between-subjects)."
sample:
n_final: 230
recruitment: "students"
recruitment_other: "Volunteer students taking introductory courses at Arizona State University (randomly distributed surveys)."
compensation: null
compensation_other: null
characteristics: "Four conditions (LSLP/LSHP/HSLP/HSHP); initial surveys distributed total=305; exclusions reported; computed statistics for N=230."
mean_age: null
mean_age_prov:
page: null
quote: null
tei_id: null
table_ref: null
provenance:
page: 13
quote: "We discarded 75 surveys... We computed statistics for N 230 subjects. LSLP (N 50, m 1.6, sd 0.969), LSHP (N 58, m 1.76, sd 0.823), HSLP (N 61, m 1.93, sd 0.944), and HSHP (N 61, m 2.15, sd 1.152) (Figure 1.1)."
tei_id: null
table_ref: "Figure 1.1"
design: "Between-Subjects"
design_other: "2 (stakes: low vs high) × 2 (probability: low vs high) between-subjects."
manipulated_factors:
- "Probability of outcome: low vs high"
paradigm: "Rating how much evidence is needed for knowledge"
paradigm_other: null
scale:
label: other
points: null
anchors: "Numeric free response: number of additional roster surveys (whole number) or “never”."
direction: "Higher numbers indicate more evidence needed for knowledge."
provenance:
page: 13
quote: "How many more times do you think Jessie needs to survey the entire roster before he knows the name is not on the list (enter a whole number... or write “never” if you think Jessie will never know)."
tei_id: null
table_ref: null
measures:
knowledge_question_text: "How many more times do you think Jessie needs to survey the entire roster before he knows the name is not on the list?"
knowledge_question_first: null
additional_question_text: null
scenarios:
- scenario_code: airplane_roster
scenario_type: "Airline steward checks passenger roster; stakes and probability of hijacking (high) vs first-class upgrade acceptance (low)."
high_stakes_text: "High stakes: if wrong, (low/high probability) a criminal would hijack the plane; Jessie is unaware of hijacker/probability."
low_stakes_text: "Low stakes: if wrong, (low/high probability) a nice guy would accept first class; Jessie is unaware of nice guy/probability."
provenance:
page: 13
quote: "In high stakes–high probability (HSHP)... a criminal, would hijack the plane... In low stakes–high probability (LSHP)... a nice guy, would accept the invitation to go to first class... Again, Jessie is unaware..."
tei_id: null
table_ref: null
effects:
- effect_id: s2_e1
subgroup: "Airplane — Low probability (LSLP vs HSLP)"
subgroup_desc: "Evidence-seeking: roster checks required for knowledge (low probability)"
design: "Between-Subjects"
design_other: null
moderators:
scenario: other
skeptical_pressure: "No"
awareness: "No"
evidence: "First Person"
attribution_person: "Other"
evidence_reliability: "High"
moderators_coding:
scenario:
provenance:
page: 13
quote: "They are about an airline steward, Jessie, who is assigned to find a name on a roster of 200 passengers before a flight."
tei_id: null
table_ref: null
reason: "The scenario is an airplane/roster vignette (not bank/peanuts/bridge/typos)."
skeptical_pressure:
provenance:
page: 13
quote: "How many more times do you think Jessie needs to survey the entire roster before he knows the name is not on the list..."
tei_id: null
table_ref: null
reason: "No explicit alternative/error possibility is raised as a conversational challenge; stakes/probability are manipulated as consequences."
awareness:
provenance:
page: 13
quote: "Again, Jessie is unaware that the name belongs to a nice guy/hijacker and unaware of the probability..."
tei_id: null
table_ref: null
reason: "The protagonist is explicitly unaware of the stake-relevant facts and probabilities."
evidence:
provenance:
page: 13
quote: "How many more times do you think Jessie needs to survey the entire roster..."
tei_id: null
table_ref: null
reason: "Evidence is generated by the agent’s own repeated surveying of the roster (first-person)."
attribution_person:
provenance:
page: 13
quote: "before he knows the name is not on the list"
tei_id: null
table_ref: null
reason: "Participants attribute knowledge to Jessie (third-person attribution)."
evidence_reliability:
provenance:
page: 13
quote: "a roster of 200 passengers"
tei_id: null
table_ref: null
reason: "Checking a fixed roster (repeatedly) suggests relatively high reliability of the evidence source/process."
contrast:
group_high: HSLP
group_low: LSLP
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Probability held constant at low probability; outcome is number of additional roster surveys required."
groups:
- group_id: LSLP
label: "Low stakes — low probability"
n: 50
mean: 1.6
sd: 0.969
se: null
provenance:
page: 13
quote: "LSLP (N 50, m 1.6, sd 0.969)"
tei_id: null
table_ref: "Figure 1.1"
- group_id: HSLP
label: "High stakes — low probability"
n: 61
mean: 1.93
sd: 0.944
se: null
provenance:
page: 13
quote: "HSLP (N 61, m 1.93, sd 0.944)"
tei_id: null
table_ref: "Figure 1.1"
reported_test:
test: null
t: null
f: null
chi2: null
z: null
df1: null
df2: null
p: null
reported_d: null
reported_r: null
notes: "No simple-effect test for LSLP vs HSLP reported; paper reports an overall main effect for stakes across probability conditions."
provenance:
page: 14
quote: "Comparing all the low-stakes cases against the high-stakes cases reveals a statistically significant main effect for stakes F(1,224) 7.639, p 0.01. Cohen’s d 0.38 (moderate effect size)."
tei_id: null
table_ref: null
effect_size:
metric: SMD
d: -0.345434178152552
v: 0.0369408039598129
computed_from: groups
needs_review: false
notes: "Computed from group means/SDs/Ns in analysis/effect_sizes.qmd (method=between_groups)."
quality_flags: []
notes: null
- effect_id: s2_e2
subgroup: "Airplane — High probability (LSHP vs HSHP)"
subgroup_desc: "Evidence-seeking: roster checks required for knowledge (high probability)"
design: "Between-Subjects"
design_other: null
moderators:
scenario: other
skeptical_pressure: "No"
awareness: "No"
evidence: "First Person"
attribution_person: "Other"
evidence_reliability: "High"
moderators_coding:
scenario:
provenance:
page: 13
quote: "They are about an airline steward, Jessie, who is assigned to find a name on a roster of 200 passengers before a flight."
tei_id: null
table_ref: null
reason: "The scenario is an airplane/roster vignette (not bank/peanuts/bridge/typos)."
skeptical_pressure:
provenance:
page: 13
quote: "How many more times do you think Jessie needs to survey the entire roster before he knows the name is not on the list..."
tei_id: null
table_ref: null
reason: "No explicit alternative/error possibility is raised as a conversational challenge; stakes/probability are manipulated as consequences."
awareness:
provenance:
page: 13
quote: "Again, Jessie is unaware that the name belongs to a nice guy/hijacker and unaware of the probability..."
tei_id: null
table_ref: null
reason: "The protagonist is explicitly unaware of the stake-relevant facts and probabilities."
evidence:
provenance:
page: 13
quote: "How many more times do you think Jessie needs to survey the entire roster..."
tei_id: null
table_ref: null
reason: "Evidence is generated by the agent’s own repeated surveying of the roster (first-person)."
attribution_person:
provenance:
page: 13
quote: "before he knows the name is not on the list"
tei_id: null
table_ref: null
reason: "Participants attribute knowledge to Jessie (third-person attribution)."
evidence_reliability:
provenance:
page: 13
quote: "a roster of 200 passengers"
tei_id: null
table_ref: null
reason: "Checking a fixed roster (repeatedly) suggests relatively high reliability of the evidence source/process."
contrast:
group_high: HSHP
group_low: LSHP
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Probability held constant at high probability; outcome is number of additional roster surveys required."
groups:
- group_id: LSHP
label: "Low stakes — high probability"
n: 58
mean: 1.76
sd: 0.823
se: null
provenance:
page: 13
quote: "LSHP (N 58, m 1.76, sd 0.823)"
tei_id: null
table_ref: "Figure 1.1"
- group_id: HSHP
label: "High stakes — high probability"
n: 61
mean: 2.15
sd: 1.152
se: null
provenance:
page: 13
quote: "HSHP (N 61, m 2.15, sd 1.152)"
tei_id: null
table_ref: "Figure 1.1"
reported_test:
test: null
t: null
f: null
chi2: null
z: null
df1: null
df2: null
p: null
reported_d: null
reported_r: null
notes: "No simple-effect test for LSHP vs HSHP reported; paper reports an overall main effect for stakes across probability conditions."
provenance:
page: 14
quote: "Comparing all the low-stakes cases against the high-stakes cases reveals a statistically significant main effect for stakes F(1,224) 7.639, p 0.01. Cohen’s d 0.38 (moderate effect size)."
tei_id: null
table_ref: null
effect_size:
metric: SMD
d: -0.387959471896737
v: 0.034278037966776
computed_from: groups
needs_review: false
notes: "Computed from group means/SDs/Ns in analysis/effect_sizes.qmd (method=between_groups)."
quality_flags: []
notes: null
- study_id: 3
label: "Study 2 (Coin; agreement with knowledge ascription)"
objective: "Test whether stakes affect agreement with a knowledge ascription in a coin-counting vignette."
sample:
n_final: null
recruitment: "mTurk"
recruitment_other: null
compensation: null
compensation_other: null
characteristics: "Amazon Turk workers in the United States; coin-counting vignette; Table 1.1 reports group Ns."
mean_age: null
mean_age_prov:
page: null
quote: null
tei_id: null
table_ref: null
provenance:
page: 15
quote: "The surveys were taken by Amazon Turk workers in the United States."
tei_id: null
table_ref: null
design: "Between-Subjects"
design_other: "Two independent conditions: Low stakes vs High stakes."
manipulated_factors: []
paradigm: "Agreement with knowledge claim"
paradigm_other: null
scale:
label: "Likert 7-point"
points: 7
anchors: "0–6; 6 = strongly agree; 3 = neutral"
direction: "Higher numbers indicate stronger agreement with the knowledge ascription."
provenance:
page: 15
quote: "a 7-point Likert scale (0-6) where 6 is \"strongly agree\" and 3 is \"neutral\""
tei_id: null
table_ref: null
measures:
knowledge_question_text: "To what extent do you agree with the statement: \"PETER KNOWS THERE ARE 134 COINS IN THE JAR\""
knowledge_question_first: null
additional_question_text: null
scenarios:
- scenario_code: coin
scenario_type: "Counting coins in a jar for a contest; stakes manipulation via prize importance and mother’s operation."
high_stakes_text: "High stakes: Peter actually needs $10,000 to help pay for a life-saving operation for his mother."
low_stakes_text: "Low stakes: the prize is movie passes Peter wouldn’t want; nothing bad would happen if he doesn’t win."
provenance:
page: 15
quote: "Coin Low Stakes... the prize is just a pair of movie passes... So nothing bad would happen... Coin High Stakes... the prize is $10,000... life-saving operation for his mother... his mother could die."
tei_id: null
table_ref: null
effects:
- effect_id: s3_e1
subgroup: "Coin — knowledge ascription agreement"
subgroup_desc: "Agreement with knowledge statement (Likert 0–6)"
design: "Between-Subjects"
design_other: null
moderators:
scenario: other
skeptical_pressure: "Yes"
awareness: "No"
evidence: "First Person"
attribution_person: "Other"
evidence_reliability: null
moderators_coding:
scenario:
provenance:
page: 15
quote: "Coin... count the coins in a jar. The jar contains 134 coins."
tei_id: null
table_ref: null
reason: "The vignette concerns coin-counting (not bank/peanuts/bridge/typos)."
skeptical_pressure:
provenance:
page: 15
quote: "His friend... says to Peter “you only counted once... you don’t know there are 134 coins in the jar... You should count them again.”"
tei_id: null
table_ref: null
reason: "A friend explicitly denies knowledge and challenges the adequacy of the evidence."
awareness:
provenance:
page: 15
quote: "the protagonist is ignorant of what is at stake... the protagonist is always mistaken about what is at stake"
tei_id: null
table_ref: null
reason: "The paper states protagonists are ignorant/mistaken about the stakes in both low/high conditions."
evidence:
provenance:
page: 15
quote: "After counting the coins just once, Peter concludes there are 134 coins in the jar."
tei_id: null
table_ref: null
reason: "Evidence is generated by the agent’s own counting (first-person evidence)."
attribution_person:
provenance:
page: 15
quote: "\"PETER KNOWS THERE ARE 134 COINS IN THE JAR\""
tei_id: null
table_ref: null
reason: "Participants judge a third-person knowledge ascription."
evidence_reliability:
provenance:
page: 15
quote: "After counting the coins just once..."
tei_id: null
table_ref: null
reason: "Reliability of the evidence source is not explicitly characterized beyond a single count; coded as null."
contrast:
group_high: Coin_high
group_low: Coin_low
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Outcome is agreement with the knowledge statement; higher scores indicate more agreement."
groups:
- group_id: Coin_low
label: "Low stakes"
n: 87
mean: 3.68
sd: 1.80
se: null
provenance:
page: 17
quote: "Coin (Likert: 0–6) N 87, m 3.68, sd 1.80"
tei_id: null
table_ref: "Table 1.1"
- group_id: Coin_high
label: "High stakes"
n: 78
mean: 3.06
sd: 1.76
se: null
provenance:
page: 17
quote: "Coin (Likert: 0–6) N 78, m 3.06, sd 1.76"
tei_id: null
table_ref: "Table 1.1"
reported_test:
test: t
t: 2.23
f: null
chi2: null
z: null
df1: 161.78
df2: null
p: 0.023
reported_d: 0.35
reported_r: null
notes: null
provenance:
page: 17
quote: "Coin vignettes t(161.78) 2.23, p 0.023, d 0.35 (small effect size)"
tei_id: null
table_ref: null
effect_size:
metric: SMD
d: 0.348076772822079
v: 0.0246864142823528
computed_from: groups
needs_review: false
notes: "Computed from Table 1.1 group means/SDs/Ns in analysis/effect_sizes.qmd (method=between_groups)."
quality_flags: []
notes: null
- study_id: 4
label: "Study 2 (Air; agreement with knowledge ascription)"
objective: "Test whether stakes affect agreement with a knowledge ascription in the Air probe."
sample:
n_final: null
recruitment: "mTurk"
recruitment_other: null
compensation: null
compensation_other: null
characteristics: "Amazon Turk workers in the United States; Air probe vignette text referenced as Web Appendix; Table 1.1 reports group Ns."
mean_age: null
mean_age_prov:
page: null
quote: null
tei_id: null
table_ref: null
provenance:
page: 15
quote: "The surveys were taken by Amazon Turk workers in the United States."
tei_id: null
table_ref: null
design: "Between-Subjects"
design_other: "Two independent conditions: Low stakes vs High stakes."
manipulated_factors: []
paradigm: "Agreement with knowledge claim"
paradigm_other: null
scale:
label: "Likert 5-point"
points: 5
anchors: "0–4; 4 = strongly agree; 2 = neutral"
direction: "Higher numbers indicate stronger agreement with the knowledge ascription."
provenance:
page: 15
quote: "Air and Bridge, with 5-point Likert scales (0-4) where 4 is \"strongly agree\" and 2 is \"neutral\" (See Web Appendix)."
tei_id: null
table_ref: null
measures:
knowledge_question_text: null
knowledge_question_first: null
additional_question_text: null
scenarios:
- scenario_code: air
scenario_type: "Air probe (vignette text not included; referenced as Web Appendix)."
high_stakes_text: null
low_stakes_text: null
provenance:
page: 15
quote: "We also ran two other probes, Air and Bridge... (See Web Appendix)."
tei_id: null
table_ref: null
effects:
- effect_id: s4_e1
subgroup: "Air — knowledge ascription agreement"
subgroup_desc: "Agreement with knowledge statement (Likert 0–4)"
design: "Between-Subjects"
design_other: null
moderators:
scenario: other
skeptical_pressure: null
awareness: "No"
evidence: "First Person"
attribution_person: "Other"
evidence_reliability: null
moderators_coding:
scenario:
provenance:
page: 15
quote: "We developed three pairs of vignettes (Coin, Air, and Bridge)"
tei_id: null
table_ref: null
reason: "Probe is labeled 'Air'; the vignette is not bank/peanuts/bridge/typos."
skeptical_pressure:
provenance:
page: 15
quote: "see the Web appendix for the others"
tei_id: null
table_ref: null
reason: "Air vignette text is not provided in the PDF (Web appendix referenced), so skeptical-pressure wording cannot be verified."
awareness:
provenance:
page: 15
quote: "in both the low-stakes and high-stakes conditions, the protagonist is ignorant of what is at stake."
tei_id: null
table_ref: null
reason: "Paper explicitly states protagonists are ignorant of the stakes in Study 2 vignettes."
evidence:
provenance:
page: 32
quote: "The normative prompt for AIR was “Do you think Jason should look through the entire roster at least one more time?”"
tei_id: null
table_ref: null
reason: "The Air probe involves the agent looking through a roster, indicating first-person evidence from the agent’s own checking."
attribution_person:
provenance:
page: 15
quote: "Subjects are asked about the extent to which they agree or disagree with a statement that says that the protagonist knows P."
tei_id: null
table_ref: null
reason: "The DV is agreement with a third-person knowledge ascription."
evidence_reliability:
provenance:
page: 15
quote: "see the Web appendix for the others"
tei_id: null
table_ref: null
reason: "Air vignette text is not provided in the PDF (Web appendix referenced), so evidence reliability cannot be coded."
contrast:
group_high: Air_high
group_low: Air_low
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Outcome is agreement with the knowledge statement; higher scores indicate more agreement."
groups:
- group_id: Air_low
label: "Low stakes"
n: 25
mean: 2.16
sd: 1.03
se: null
provenance:
page: 17
quote: "Air (Likert 0–4) N 25, m 2.16, sd 1.03"
tei_id: null
table_ref: "Table 1.1"
- group_id: Air_high
label: "High stakes"
n: 30
mean: 2.03
sd: 1.0
se: null
provenance:
page: 17
quote: "Air (Likert 0–4) N 30, m 2.03, sd 1.0"
tei_id: null
table_ref: "Table 1.1"
reported_test:
test: t
t: 0.462
f: null
chi2: null
z: null
df1: 53.0
df2: null
p: 0.646
reported_d: null
reported_r: null
notes: null
provenance:
page: 32
quote: "21 Air: t(53) 0.462, p 0.646."
tei_id: null
table_ref: null
effect_size:
metric: SMD
d: 0.128243714633482
v: 0.0734884885252484
computed_from: groups
needs_review: true
notes: "Computed from Table 1.1 group means/SDs/Ns in analysis/effect_sizes.qmd (method=between_groups). Vignette text is in Web Appendix (not included), limiting moderator coding."
quality_flags: []
notes: null
- study_id: 5
label: "Study 2 (Bridge; agreement with knowledge ascription)"
objective: "Test whether stakes affect agreement with a knowledge ascription in the Bridge probe."
sample:
n_final: null
recruitment: "mTurk"
recruitment_other: null
compensation: null
compensation_other: null
characteristics: "Amazon Turk workers in the United States; Bridge vignette text referenced as Web Appendix; Table 1.1 reports group Ns."
mean_age: null
mean_age_prov:
page: null
quote: null
tei_id: null
table_ref: null
provenance:
page: 15
quote: "The surveys were taken by Amazon Turk workers in the United States."
tei_id: null
table_ref: null
design: "Between-Subjects"
design_other: "Two independent conditions: Low stakes vs High stakes."
manipulated_factors: []
paradigm: "Agreement with knowledge claim"
paradigm_other: null
scale:
label: "Likert 5-point"
points: 5
anchors: "0–4; 4 = strongly agree; 2 = neutral"
direction: "Higher numbers indicate stronger agreement with the knowledge ascription."
provenance:
page: 15
quote: "Air and Bridge, with 5-point Likert scales (0-4) where 4 is \"strongly agree\" and 2 is \"neutral\" (See Web Appendix)."
tei_id: null
table_ref: null
measures:
knowledge_question_text: null
knowledge_question_first: null
additional_question_text: null
scenarios:
- scenario_code: bridge
scenario_type: "Bridge probe (vignette text not included; referenced as Web Appendix)."
high_stakes_text: null
low_stakes_text: null
provenance:
page: 15
quote: "We also ran two other probes, Air and Bridge... (See Web Appendix)."
tei_id: null
table_ref: null
effects:
- effect_id: s5_e1
subgroup: "Bridge — knowledge ascription agreement"
subgroup_desc: "Agreement with knowledge statement (Likert 0–4)"
design: "Between-Subjects"
design_other: null
moderators:
scenario: bridge
skeptical_pressure: null
awareness: "No"
evidence: null
attribution_person: "Other"
evidence_reliability: null
moderators_coding:
scenario:
provenance:
page: 15
quote: "We developed three pairs of vignettes (Coin, Air, and Bridge)"
tei_id: null
table_ref: null
reason: "Probe is explicitly labeled Bridge; coded as the bridge scenario."
skeptical_pressure:
provenance:
page: 15
quote: "see the Web appendix for the others"
tei_id: null
table_ref: null
reason: "Bridge vignette text is not provided in the PDF (Web appendix referenced), so skeptical-pressure wording cannot be verified."
awareness:
provenance:
page: 15
quote: "in both the low-stakes and high-stakes conditions, the protagonist is ignorant of what is at stake."
tei_id: null
table_ref: null
reason: "Paper explicitly states protagonists are ignorant of the stakes in Study 2 vignettes."
evidence:
provenance:
page: 15
quote: "see the Web appendix for the others"
tei_id: null
table_ref: null
reason: "Bridge vignette text is not provided in the PDF (Web appendix referenced), so evidence source cannot be coded."
attribution_person:
provenance:
page: 15
quote: "Subjects are asked about the extent to which they agree or disagree with a statement that says that the protagonist knows P."
tei_id: null
table_ref: null
reason: "The DV is agreement with a third-person knowledge ascription."
evidence_reliability:
provenance:
page: 15
quote: "see the Web appendix for the others"
tei_id: null
table_ref: null
reason: "Bridge vignette text is not provided in the PDF (Web appendix referenced), so evidence reliability cannot be coded."
contrast:
group_high: Bridge_high
group_low: Bridge_low
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Outcome is agreement with the knowledge statement; higher scores indicate more agreement."
groups:
- group_id: Bridge_low
label: "Low stakes"
n: 28
mean: 2.32
sd: 1.16
se: null
provenance:
page: 17
quote: "Bridge (Likert 0–4) N 28, m 2.32, sd 1.16"
tei_id: null
table_ref: "Table 1.1"
- group_id: Bridge_high
label: "High stakes"
n: 31
mean: 1.71
sd: 1.13
se: null
provenance:
page: 17
quote: "Bridge (Likert 0–4) N 31, m 1.71, sd 1.13"
tei_id: null
table_ref: "Table 1.1"
reported_test:
test: t
t: 2.053
f: null
chi2: null
z: null
df1: 57.0
df2: null
p: null
reported_d: 0.53
reported_r: null
notes: "p-value not reported in the extracted text for this t-test."
provenance:
page: 17
quote: "Bridge vignettes t(57) 2.053, d 0.53 (medium effect size)"
tei_id: null
table_ref: null
effect_size:
metric: SMD
d: 0.53307299757469
v: 0.0704650416404434
computed_from: groups
needs_review: true
notes: "Computed from Table 1.1 group means/SDs/Ns in analysis/effect_sizes.qmd (method=between_groups). Vignette text is in Web Appendix (not included), limiting moderator coding."
quality_flags: []
notes: null
- study_id: 6
label: "Modal-reading test (Typo; evidence-seeking; Knows vs Hopes)"
objective: "Test whether stakes effects on evidence-seeking prompts can be explained by a ‘modal reading’ by presenting Knows and Hopes prompts side-by-side; includes a stakes contrast for the Knows question."
sample:
n_final: null
recruitment: null
recruitment_other: null
compensation: null
compensation_other: null
characteristics: "Participant source/compensation not reported in the extracted text; stakes manipulated via low vs high typo vignette; Knows/Hopes prompts asked."
mean_age: null
mean_age_prov:
page: null
quote: null
tei_id: null
table_ref: null
provenance:
page: 26
quote: "The mean for the Knows low-stakes response was 3.31 (N 39, SD 0.86). The mean for the Knows high-stakes response was 4.42 (N 31, SD 1.36)."
tei_id: null
table_ref: null
design: null
design_other: "Mixed: stakes manipulated between-subjects (low vs high Typo vignette); Knows vs Hopes prompts asked to the same participants (order manipulated)."
manipulated_factors:
- "Question type: Knows vs Hopes (within-subjects)"
- "Question order (between-subjects)"
paradigm: "Rating how much evidence is needed for knowledge"
paradigm_other: null
scale:
label: other
points: null
anchors: "Numeric free response: number of proofreads required before the agent knows; whole number."
direction: "Higher numbers indicate more evidence needed for knowledge."
provenance:
page: 22
quote: "“How many times do you think Peter has to proofread his paper before he knows that there are no typos? times.”"
tei_id: null
table_ref: null
measures:
knowledge_question_text: "How many times do you think Peter has to proofread his paper before he knows that there are no typos?"
knowledge_question_first: null
additional_question_text: "How many times do you think Peter has to proofread his paper before he hopes that there are no typos?"
scenarios:
- scenario_code: typos
scenario_type: "Proofreading for typos; stakes vary with consequences of a typo."
high_stakes_text: "High stakes: the cost of a single typo is high (he could fail the class)."
low_stakes_text: "Low stakes: the teacher won’t care much."
provenance:
page: 22
quote: "In one condition, the cost of having a single typo is high (he could fail the class) and in another case, the cost is low (the teacher won’t care much)."
tei_id: null
table_ref: null
effects:
- effect_id: s6_e1
subgroup: "Typo — evidence-seeking knowledge (Knows question)"
subgroup_desc: "Number of proofreads required for knowledge"
design: "Between-Subjects"
design_other: null
moderators:
scenario: typos
skeptical_pressure: "No"
awareness: null
evidence: "First Person"
attribution_person: "Other"
evidence_reliability: null
moderators_coding:
scenario:
provenance:
page: 22
quote: "a student Peter... turn in a paper for an English class... proofread his paper... no typos"
tei_id: null
table_ref: null
reason: "The vignette is explicitly about proofreading for typos."
skeptical_pressure:
provenance:
page: 22
quote: "How many times do you think Peter has to proofread his paper before he knows that there are no typos?"
tei_id: null
table_ref: null
reason: "No explicit skeptical challenge/alternative is presented; the manipulation concerns consequences of error."
awareness:
provenance:
page: 22
quote: "the cost of having a single typo is high... and... low"
tei_id: null
table_ref: null
reason: "The description does not explicitly state whether Peter is aware of the high-stakes consequences; coded as null."
evidence:
provenance:
page: 22
quote: "proofread his paper"
tei_id: null
table_ref: null
reason: "Evidence is generated by the agent’s own proofreading/checking (first-person evidence)."
attribution_person:
provenance:
page: 22
quote: "before he knows that there are no typos"
tei_id: null
table_ref: null
reason: "Participants attribute knowledge to Peter (third-person attribution)."
evidence_reliability:
provenance:
page: 22
quote: "proofread his paper"
tei_id: null
table_ref: null
reason: "Evidence reliability details (e.g., spelling ability/tools) are not specified in the extracted text; coded as null."
contrast:
group_high: Typo_high
group_low: Typo_low
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Outcome is number of proofreads required; higher scores indicate more evidence needed for knowledge."
groups:
- group_id: Typo_low
label: "Low stakes"
n: 39
mean: 3.31
sd: 0.86
se: null
provenance:
page: 26
quote: "The mean for the Knows low-stakes response was 3.31 (N 39, SD 0.86)."
tei_id: null
table_ref: null
- group_id: Typo_high
label: "High stakes"
n: 31
mean: 4.42
sd: 1.36
se: null
provenance:
page: 26
quote: "The mean for the Knows high-stakes response was 4.42 (N 31, SD 1.36)."
tei_id: null
table_ref: null
reported_test:
test: t
t: 3.95
f: null
chi2: null
z: null
df1: 48.35
df2: null
p: null
reported_d: null
reported_r: null
notes: "Reported as p < 0.01."
provenance:
page: 26
quote: "The difference was statistically significant: t(48.35) 3.95, p 0.01."
tei_id: null
table_ref: null
effect_size:
metric: SMD
d: -1.0011358164739
v: 0.0652687440029404
computed_from: groups
needs_review: true
notes: "Computed from group means/SDs/Ns in analysis/effect_sizes.qmd (method=between_groups). Participant recruitment/compensation not reported in extracted text."
quality_flags: []
notes: null