| paper_id | spatansemenescundfeelingcertaintyshiftiness |
|---|---|
| short_label | Spatan & Semenescu 2024 |
| citation | Spatan, S., & Semenescu, A. (2024). Feeling of Certainty and the Shiftiness of Knowledge Utterances. https://doi.org/10.4396/2024205 |
| doi | 10.4396/2024205 |
| year | 2024 |
| published | Yes |
| language | English |
| language_other | — |
| research_objective | Test whether (i) confidence correlates with knowledge-ascription ratings and (ii) stakes/error-possibility effects on knowledge ascriptions occur only when assessors feel uncertain about the target proposition. |
| data_available_online | — |
| data_url | — |
| notes | TEI header provides DOI and submission dates (Received 29 07 2024; accepted 05 12 2024) but no imprint date; extracted Markdown includes a likely spurious 'Published on February 10, 2014' line. |
| study_id | 1 |
|---|---|
| label | Study (Prolific; Error × Stakes; certainty grouping via trivia + confidence) |
| objective | Examine whether stakes (low vs high) and explicit error-possibility mention influence agreement that a first-person knowledge utterance is true, and whether such 'shiftiness' depends on the assessor's feeling of certainty about the target proposition. |
| design | Between-Subjects |
| design_other | 2 (error: error-possibility mentioned vs not) × 2 (stakes: high vs low) between-subjects; certainty (Certain vs Uncertain) operationalized via trivia accuracy plus a 1–5 confidence rating. |
| manipulated_factors | Error-possibility mention: mentioned vs not; Certainty grouping: trivia accuracy + confidence rating (Certain vs Uncertain) |
| paradigm | Agreement that a sentence is true |
| paradigm_other | — |
| notes | — |
| n_final | 883 |
|---|---|
| recruitment | Prolific |
| recruitment_other | — |
| compensation | money |
| compensation_other | — |
| characteristics | Final sample after exclusions; 64.2% female, 35% male, 0.8% other; age distribution reported in paper. |
| mean_age | — |
| page | — |
|---|---|
| table_ref | — |
| tei_id | — |
| label | Likert 7-point |
|---|---|
| points | 7 |
| anchors | 1 = strongly disagree; 2 = disagree; 3 = somewhat disagree; 4 = neither agree nor disagree; 5 = somewhat agree; 6 = agree; 7 = strongly agree |
| direction | Higher numbers indicate stronger agreement that Tracy's statement is true (higher knowledge ascription). |
| page | — |
|---|---|
| table_ref | — |
| tei_id | — |
| knowledge_question_text | Please rate how strongly you agree or disagree that Tracy's statement, 'I know that the capital of [Lithuania / France] is [Vilnius / Paris]', is true. |
|---|---|
| knowledge_question_first | — |
| additional_question_text | On a scale from 1 (not confident at all) to 5 (very confident), how confident are you that the capital of Lithuania [France] is Vilnius [Paris]? |
other · Geography oral exam / world-capitals vignette (Tracy answers what the capital of Lithuania/France is).| scenario_code | other |
|---|---|
| scenario_type | Geography oral exam / world-capitals vignette (Tracy answers what the capital of Lithuania/France is). |
| page | — |
|---|---|
| table_ref | — |
| tei_id | — |
s1_e1 · Uncertain, low error: Low vs High stakes (U_LE_LS vs U_LE_HS) · Between-Subjects · d=-0.184769596817 · v=0.020923174923| effect_id | s1_e1 |
|---|---|
| subgroup | Uncertain, low error: Low vs High stakes (U_LE_LS vs U_LE_HS) |
| subgroup_desc | Knowledge ascription rating (agreement that Tracy's first-person knowledge statement is true); Uncertain participants; no explicit error possibility mentioned. |
| design | Between-Subjects |
| design_other | — |
| quality_flags | — |
| notes | — |
| metric | SMD |
|---|---|
| d | -0.184769596817 |
| v | 0.020923174923 |
| computed_from | groups |
| needs_review | false |
| notes | Computed from Table 5 group stats in analysis/effect_sizes.qmd (method=between_groups). |
| scenario | other |
|---|---|
| skeptical_pressure | No |
| awareness | Yes |
| evidence | External |
| attribution_person | First Person |
| evidence_reliability | — |
| group_high | U_LE_HS |
|---|---|
| group_low | U_LE_LS |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Table 5 stakes contrast within Uncertain + low-error conditions: Con 1 (U_LE_LS) vs Con 3 (U_LE_HS). |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | other | The vignette is a geography oral-exam / world-capitals scenario, which does not match the predefined bank/peanuts/bridge/typos categories. | Provenance
The scenarios concerned a student, Tracy, who was taking a geography oral exam. | ||||||
skeptical_pressure | No | In the low-error vignette, no explicit possibility of error is introduced to undermine the target proposition. | Provenance
LOW_EX: Tracy is taking a geography oral exam… Based on her rigorous and in-depth research, Tracy confidently tells the professor, "I know that the capital of Lithuania is Vilnius". | ||||||
awareness | Yes | Stakes (low vs high) are described as features of Tracy's situation; no 'unaware' manipulation is used. | Provenance
In any case, it is not very important for Tracy that she receive such a globe. | ||||||
evidence | External | Tracy's evidential basis is studying an external information source (a political map), held constant across conditions. | Provenance
Tracy… bought a huge political map of the world that she studied very carefully for the last two weeks, reviewing every world capital. | ||||||
attribution_person | First Person | The target knowledge utterance is a first-person self-ascription ('I know that…'). | Provenance
Tracy confidently tells the professor, "I know that the capital of Lithuania is Vilnius". | ||||||
evidence_reliability | — | Reliability of the evidence source is not stated in a way that cleanly maps to the High/Medium/Low evidence-reliability coding; coded null. | Provenance
Tracy… bought a huge political map of the world that she studied very carefully… |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
U_LE_LS | Con 1 (U_LE_LS): Uncertain; low error; low stakes | 96 | 5.41 | 1.23 | — | Provenance
Con 1 (U_LE_LS),96,5.41,1.23 | ||||||
U_LE_HS | Con 3 (U_LE_HS): Uncertain; low error; high stakes | 96 | 5.63 | 1.15 | — | Provenance
Con 3 (U_LE_HS),96,5.63,1.15 |
| test | — |
|---|---|
| t | — |
| f | — |
| chi2 | — |
| z | — |
| df1 | — |
| df2 | — |
| p | — |
| reported_d | — |
| reported_r | — |
| notes | — |
s1_e2 · Uncertain, high error: Low vs High stakes (U_HE_LS vs U_HE_HS) · Between-Subjects · d=0.115503856238 · v=0.019973996645| effect_id | s1_e2 |
|---|---|
| subgroup | Uncertain, high error: Low vs High stakes (U_HE_LS vs U_HE_HS) |
| subgroup_desc | Knowledge ascription rating (agreement that Tracy's first-person knowledge statement is true); Uncertain participants; explicit error possibility mentioned. |
| design | Between-Subjects |
| design_other | — |
| quality_flags | — |
| notes | — |
| metric | SMD |
|---|---|
| d | 0.115503856238 |
| v | 0.019973996645 |
| computed_from | groups |
| needs_review | false |
| notes | Computed from Table 5 group stats in analysis/effect_sizes.qmd (method=between_groups). |
| scenario | other |
|---|---|
| skeptical_pressure | Yes |
| awareness | Yes |
| evidence | External |
| attribution_person | First Person |
| evidence_reliability | — |
| group_high | U_HE_HS |
|---|---|
| group_low | U_HE_LS |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Table 5 stakes contrast within Uncertain + high-error conditions: Con 4 (U_HE_LS) vs Con 2 (U_HE_HS). |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | other | The vignette is a geography oral-exam / world-capitals scenario (not bank/peanuts/bridge/typos). | Provenance
The scenarios concerned a student, Tracy, who was taking a geography oral exam. | ||||||
skeptical_pressure | Yes | The high-error vignette explicitly introduces an error possibility (map may contain mistakes), increasing skeptical pressure. | Provenance
It goes without saying that even political maps like the one bought by Tracy might sometimes contain mistakes. | ||||||
awareness | Yes | High-stakes consequences are described as facts about Tracy's situation; no 'unaware' manipulation is used. | Provenance
If Tracy does not pass the exam, she will lose her scholarship and will have to move to another school… It is therefore very important for Tracy that she answers correctly. | ||||||
evidence | External | Tracy's evidential basis is studying an external information source (a political map). | Provenance
Tracy… bought a huge political map of the world that she studied very carefully for the last two weeks, reviewing every world capital. | ||||||
attribution_person | First Person | The knowledge utterance under evaluation is a first-person self-ascription ('I know that…'). | Provenance
Tracy confidently tells the professor, "I know that the capital of Lithuania is Vilnius". | ||||||
evidence_reliability | — | Although an error possibility is mentioned, the paper does not specify evidence-source reliability in a way that can be cleanly coded as High/Medium/Low; coded null. | Provenance
It goes without saying that even political maps… might sometimes contain mistakes. |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
U_HE_LS | Con 4 (U_HE_LS): Uncertain; high error; low stakes | 105 | 5.2 | 1.39 | — | Provenance
Con 4 (U_HE_LS),105,5.20,1.39 | ||||||
U_HE_HS | Con 2 (U_HE_HS): Uncertain; high error; high stakes | 96 | 5.04 | 1.38 | — | Provenance
Con 2 (U_HE_HS),96,5.04,1.38 |
| test | — |
|---|---|
| t | — |
| f | — |
| chi2 | — |
| z | — |
| df1 | — |
| df2 | — |
| p | — |
| reported_d | — |
| reported_r | — |
| notes | — |
s1_e3 · Certain, low error: Low vs High stakes (C_LE_LS vs C_LE_HS) · Between-Subjects · d=0.033207864478 · v=0.01606882155| effect_id | s1_e3 |
|---|---|
| subgroup | Certain, low error: Low vs High stakes (C_LE_LS vs C_LE_HS) |
| subgroup_desc | Knowledge ascription rating (agreement that Tracy's first-person knowledge statement is true); Certain participants; no explicit error possibility mentioned. |
| design | Between-Subjects |
| design_other | — |
| quality_flags | — |
| notes | — |
| metric | SMD |
|---|---|
| d | 0.033207864478 |
| v | 0.01606882155 |
| computed_from | groups |
| needs_review | false |
| notes | Computed from Table 5 group stats in analysis/effect_sizes.qmd (method=between_groups). |
| scenario | other |
|---|---|
| skeptical_pressure | No |
| awareness | Yes |
| evidence | External |
| attribution_person | First Person |
| evidence_reliability | — |
| group_high | C_LE_HS |
|---|---|
| group_low | C_LE_LS |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Table 5 stakes contrast within Certain + low-error conditions: Con 5 (C_LE_LS) vs Con 7 (C_LE_HS). |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | other | The vignette is a geography oral-exam / world-capitals scenario (not bank/peanuts/bridge/typos). | Provenance
The scenarios concerned a student, Tracy, who was taking a geography oral exam. | ||||||
skeptical_pressure | No | In the low-error vignette, no explicit possibility of error is introduced. | Provenance
LOW_EX: Tracy is taking a geography oral exam… Based on her rigorous and in-depth research, Tracy confidently tells the professor, "I know that the capital of Lithuania is Vilnius". | ||||||
awareness | Yes | Stakes are part of the vignette description; no manipulation of subject unawareness is used. | Provenance
In any case, it is not very important for Tracy that she receive such a globe. | ||||||
evidence | External | Evidence comes from an external information source (a political map), held constant across conditions. | Provenance
Tracy… bought a huge political map of the world that she studied very carefully for the last two weeks, reviewing every world capital. | ||||||
attribution_person | First Person | Participants evaluate a first-person self-ascribed knowledge utterance ('I know…'). | Provenance
Tracy confidently tells the professor, "I know that the capital of Lithuania is Vilnius". | ||||||
evidence_reliability | — | Reliability of the evidence source is not specified in a way that maps to the High/Medium/Low reliability coding; coded null. | Provenance
Tracy… bought a huge political map… |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
C_LE_LS | Con 5 (C_LE_LS): Certain; low error; low stakes | 123 | 6.93 | 0.33 | — | Provenance
Con 5 (C_LE_LS),123,6.93,0.33 | ||||||
C_LE_HS | Con 7 (C_LE_HS): Certain; low error; high stakes | 126 | 6.92 | 0.27 | — | Provenance
Con 7 (C_LE_HS),126,6.92,0.27 |
| test | — |
|---|---|
| t | — |
| f | — |
| chi2 | — |
| z | — |
| df1 | — |
| df2 | — |
| p | — |
| reported_d | — |
| reported_r | — |
| notes | — |
s1_e4 · Certain, high error: Low vs High stakes (C_HE_LS vs C_HE_HS) · Between-Subjects · d=0.014773087422 · v=0.016611981254| effect_id | s1_e4 |
|---|---|
| subgroup | Certain, high error: Low vs High stakes (C_HE_LS vs C_HE_HS) |
| subgroup_desc | Knowledge ascription rating (agreement that Tracy's first-person knowledge statement is true); Certain participants; explicit error possibility mentioned. |
| design | Between-Subjects |
| design_other | — |
| quality_flags | — |
| notes | — |
| metric | SMD |
|---|---|
| d | 0.014773087422 |
| v | 0.016611981254 |
| computed_from | groups |
| needs_review | false |
| notes | Computed from Table 5 group stats in analysis/effect_sizes.qmd (method=between_groups). |
| scenario | other |
|---|---|
| skeptical_pressure | Yes |
| awareness | Yes |
| evidence | External |
| attribution_person | First Person |
| evidence_reliability | — |
| group_high | C_HE_HS |
|---|---|
| group_low | C_HE_LS |
| sign_convention | d = mean(low) - mean(high) |
| other_notes | Table 5 stakes contrast within Certain + high-error conditions: Con 8 (C_HE_LS) vs Con 6 (C_HE_HS). |
| moderator | value | reason | evidence | ||||||
|---|---|---|---|---|---|---|---|---|---|
scenario | other | The vignette is a geography oral-exam / world-capitals scenario (not bank/peanuts/bridge/typos). | Provenance
The scenarios concerned a student, Tracy, who was taking a geography oral exam. | ||||||
skeptical_pressure | Yes | The high-error vignette explicitly introduces a possibility of error (map may contain mistakes). | Provenance
It goes without saying that even political maps like the one bought by Tracy might sometimes contain mistakes. | ||||||
awareness | Yes | Stakes are explicitly described as consequences for Tracy (implying awareness); no 'unaware' manipulation is used. | Provenance
If Tracy does not pass the exam, she will lose her scholarship and will have to move to another school… It is therefore very important for Tracy that she answers correctly. | ||||||
evidence | External | Evidence comes from studying an external source (political map). | Provenance
Tracy… bought a huge political map of the world that she studied very carefully for the last two weeks, reviewing every world capital. | ||||||
attribution_person | First Person | The target knowledge utterance is first-person ('I know that…'). | Provenance
Tracy confidently tells the professor, "I know that the capital of Lithuania is Vilnius". | ||||||
evidence_reliability | — | Evidence-source reliability is not stated in a way that can be cleanly mapped to High/Medium/Low reliability categories; coded null. | Provenance
It goes without saying that even political maps… might sometimes contain mistakes. |
| group_id | label | n | mean | sd | se | provenance | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
C_HE_LS | Con 8 (C_HE_LS): Certain; high error; low stakes | 117 | 6.87 | 0.88 | — | Provenance
Con 8 (C_HE_LS),117,6.87,0.88 | ||||||
C_HE_HS | Con 6 (C_HE_HS): Certain; high error; high stakes | 124 | 6.86 | 0.4 | — | Provenance
Con 6 (C_HE_HS),124,6.86,0.40 |
| test | — |
|---|---|
| t | — |
| f | — |
| chi2 | — |
| z | — |
| df1 | — |
| df2 | — |
| p | — |
| reported_d | — |
| reported_r | — |
| notes | — |
schema_version: "1.1"
paper:
paper_id: spatansemenescundfeelingcertaintyshiftiness
citation: "Spatan, S., & Semenescu, A. (2024). Feeling of Certainty and the Shiftiness of Knowledge Utterances. https://doi.org/10.4396/2024205"
short_label: "Spatan & Semenescu 2024"
doi: "10.4396/2024205"
published: "Yes"
year: 2024
language: "English"
language_other: null
research_objective: "Test whether (i) confidence correlates with knowledge-ascription ratings and (ii) stakes/error-possibility effects on knowledge ascriptions occur only when assessors feel uncertain about the target proposition."
data_availability:
data_available_online: null
url: null
notes: null
notes: "TEI header provides DOI and submission dates (Received 29 07 2024; accepted 05 12 2024) but no imprint date; extracted Markdown includes a likely spurious 'Published on February 10, 2014' line."
studies:
- study_id: 1
label: "Study (Prolific; Error × Stakes; certainty grouping via trivia + confidence)"
objective: "Examine whether stakes (low vs high) and explicit error-possibility mention influence agreement that a first-person knowledge utterance is true, and whether such 'shiftiness' depends on the assessor's feeling of certainty about the target proposition."
sample:
n_final: 883
recruitment: "Prolific"
recruitment_other: null
compensation: "money"
compensation_other: null
characteristics: "Final sample after exclusions; 64.2% female, 35% male, 0.8% other; age distribution reported in paper."
mean_age: null
mean_age_prov:
page: null
quote: null
tei_id: null
table_ref: null
provenance:
page: null
quote: "A total of 889 participants were recruited via Prolific Academic and compensated financially… resulting thus in a final sample of 883 persons."
tei_id: null
table_ref: null
design: "Between-Subjects"
design_other: "2 (error: error-possibility mentioned vs not) × 2 (stakes: high vs low) between-subjects; certainty (Certain vs Uncertain) operationalized via trivia accuracy plus a 1–5 confidence rating."
manipulated_factors:
- "Error-possibility mention: mentioned vs not"
- "Certainty grouping: trivia accuracy + confidence rating (Certain vs Uncertain)"
paradigm: "Agreement that a sentence is true"
paradigm_other: null
scale:
label: "Likert 7-point"
points: 7
anchors: "1 = strongly disagree; 2 = disagree; 3 = somewhat disagree; 4 = neither agree nor disagree; 5 = somewhat agree; 6 = agree; 7 = strongly agree"
direction: "Higher numbers indicate stronger agreement that Tracy's statement is true (higher knowledge ascription)."
provenance:
page: null
quote: "Knowledge ascription… was assessed with one item on a 7-point Likert scale (1 = strongly disagree… 7 = strongly agree): \"Please rate how strongly you agree or disagree that Tracy's statement, 'I know that the capital of [Lithuania / France] is [Vilnius / Paris]', is true\"."
tei_id: null
table_ref: null
measures:
knowledge_question_text: "Please rate how strongly you agree or disagree that Tracy's statement, 'I know that the capital of [Lithuania / France] is [Vilnius / Paris]', is true."
knowledge_question_first: null
additional_question_text: "On a scale from 1 (not confident at all) to 5 (very confident), how confident are you that the capital of Lithuania [France] is Vilnius [Paris]?"
scenarios:
- scenario_code: "other"
scenario_type: "Geography oral exam / world-capitals vignette (Tracy answers what the capital of Lithuania/France is)."
high_stakes_text: "High stakes: strict rule of failing anyone who answers incorrectly; failing implies losing scholarship and moving schools."
low_stakes_text: "Low stakes: answering correctly yields an unimportant small globe prize."
provenance:
page: null
quote: "Low stakes: \"it is not very important for Tracy that she receive such a globe.\" High stakes: \"If Tracy does not pass the exam, she will lose her scholarship… It is therefore very important for Tracy that she answers correctly.\""
tei_id: null
table_ref: null
effects:
- effect_id: s1_e1
subgroup: "Uncertain, low error: Low vs High stakes (U_LE_LS vs U_LE_HS)"
subgroup_desc: "Knowledge ascription rating (agreement that Tracy's first-person knowledge statement is true); Uncertain participants; no explicit error possibility mentioned."
design: "Between-Subjects"
design_other: null
moderators:
scenario: "other"
skeptical_pressure: "No"
awareness: "Yes"
evidence: "External"
attribution_person: "First Person"
evidence_reliability: null
moderators_coding:
scenario:
provenance:
page: null
quote: "The scenarios concerned a student, Tracy, who was taking a geography oral exam."
tei_id: null
table_ref: null
reason: "The vignette is a geography oral-exam / world-capitals scenario, which does not match the predefined bank/peanuts/bridge/typos categories."
skeptical_pressure:
provenance:
page: null
quote: "LOW_EX: Tracy is taking a geography oral exam… Based on her rigorous and in-depth research, Tracy confidently tells the professor, \"I know that the capital of Lithuania is Vilnius\"."
tei_id: null
table_ref: null
reason: "In the low-error vignette, no explicit possibility of error is introduced to undermine the target proposition."
awareness:
provenance:
page: null
quote: "In any case, it is not very important for Tracy that she receive such a globe."
tei_id: null
table_ref: null
reason: "Stakes (low vs high) are described as features of Tracy's situation; no 'unaware' manipulation is used."
evidence:
provenance:
page: null
quote: "Tracy… bought a huge political map of the world that she studied very carefully for the last two weeks, reviewing every world capital."
tei_id: null
table_ref: null
reason: "Tracy's evidential basis is studying an external information source (a political map), held constant across conditions."
attribution_person:
provenance:
page: null
quote: "Tracy confidently tells the professor, \"I know that the capital of Lithuania is Vilnius\"."
tei_id: null
table_ref: null
reason: "The target knowledge utterance is a first-person self-ascription ('I know that…')."
evidence_reliability:
provenance:
page: null
quote: "Tracy… bought a huge political map of the world that she studied very carefully…"
tei_id: null
table_ref: null
reason: "Reliability of the evidence source is not stated in a way that cleanly maps to the High/Medium/Low evidence-reliability coding; coded null."
contrast:
group_high: U_LE_HS
group_low: U_LE_LS
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Table 5 stakes contrast within Uncertain + low-error conditions: Con 1 (U_LE_LS) vs Con 3 (U_LE_HS)."
groups:
- group_id: U_LE_LS
label: "Con 1 (U_LE_LS): Uncertain; low error; low stakes"
n: 96
mean: 5.41
sd: 1.23
se: null
provenance:
page: 10
quote: "Con 1 (U_LE_LS),96,5.41,1.23"
tei_id: null
table_ref: "camelot_stream_p10_t1.csv"
- group_id: U_LE_HS
label: "Con 3 (U_LE_HS): Uncertain; low error; high stakes"
n: 96
mean: 5.63
sd: 1.15
se: null
provenance:
page: 10
quote: "Con 3 (U_LE_HS),96,5.63,1.15"
tei_id: null
table_ref: "camelot_stream_p10_t1.csv"
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: null
provenance:
page: null
quote: null
tei_id: null
table_ref: null
effect_size:
metric: SMD
d: -0.184769596817
v: 0.020923174923
computed_from: "groups"
needs_review: false
notes: "Computed from Table 5 group stats in analysis/effect_sizes.qmd (method=between_groups)."
quality_flags: []
notes: null
- effect_id: s1_e2
subgroup: "Uncertain, high error: Low vs High stakes (U_HE_LS vs U_HE_HS)"
subgroup_desc: "Knowledge ascription rating (agreement that Tracy's first-person knowledge statement is true); Uncertain participants; explicit error possibility mentioned."
design: "Between-Subjects"
design_other: null
moderators:
scenario: "other"
skeptical_pressure: "Yes"
awareness: "Yes"
evidence: "External"
attribution_person: "First Person"
evidence_reliability: null
moderators_coding:
scenario:
provenance:
page: null
quote: "The scenarios concerned a student, Tracy, who was taking a geography oral exam."
tei_id: null
table_ref: null
reason: "The vignette is a geography oral-exam / world-capitals scenario (not bank/peanuts/bridge/typos)."
skeptical_pressure:
provenance:
page: null
quote: "It goes without saying that even political maps like the one bought by Tracy might sometimes contain mistakes."
tei_id: null
table_ref: null
reason: "The high-error vignette explicitly introduces an error possibility (map may contain mistakes), increasing skeptical pressure."
awareness:
provenance:
page: null
quote: "If Tracy does not pass the exam, she will lose her scholarship and will have to move to another school… It is therefore very important for Tracy that she answers correctly."
tei_id: null
table_ref: null
reason: "High-stakes consequences are described as facts about Tracy's situation; no 'unaware' manipulation is used."
evidence:
provenance:
page: null
quote: "Tracy… bought a huge political map of the world that she studied very carefully for the last two weeks, reviewing every world capital."
tei_id: null
table_ref: null
reason: "Tracy's evidential basis is studying an external information source (a political map)."
attribution_person:
provenance:
page: null
quote: "Tracy confidently tells the professor, \"I know that the capital of Lithuania is Vilnius\"."
tei_id: null
table_ref: null
reason: "The knowledge utterance under evaluation is a first-person self-ascription ('I know that…')."
evidence_reliability:
provenance:
page: null
quote: "It goes without saying that even political maps… might sometimes contain mistakes."
tei_id: null
table_ref: null
reason: "Although an error possibility is mentioned, the paper does not specify evidence-source reliability in a way that can be cleanly coded as High/Medium/Low; coded null."
contrast:
group_high: U_HE_HS
group_low: U_HE_LS
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Table 5 stakes contrast within Uncertain + high-error conditions: Con 4 (U_HE_LS) vs Con 2 (U_HE_HS)."
groups:
- group_id: U_HE_LS
label: "Con 4 (U_HE_LS): Uncertain; high error; low stakes"
n: 105
mean: 5.20
sd: 1.39
se: null
provenance:
page: 10
quote: "Con 4 (U_HE_LS),105,5.20,1.39"
tei_id: null
table_ref: "camelot_stream_p10_t1.csv"
- group_id: U_HE_HS
label: "Con 2 (U_HE_HS): Uncertain; high error; high stakes"
n: 96
mean: 5.04
sd: 1.38
se: null
provenance:
page: 10
quote: "Con 2 (U_HE_HS),96,5.04,1.38"
tei_id: null
table_ref: "camelot_stream_p10_t1.csv"
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: null
provenance:
page: null
quote: null
tei_id: null
table_ref: null
effect_size:
metric: SMD
d: 0.115503856238
v: 0.019973996645
computed_from: "groups"
needs_review: false
notes: "Computed from Table 5 group stats in analysis/effect_sizes.qmd (method=between_groups)."
quality_flags: []
notes: null
- effect_id: s1_e3
subgroup: "Certain, low error: Low vs High stakes (C_LE_LS vs C_LE_HS)"
subgroup_desc: "Knowledge ascription rating (agreement that Tracy's first-person knowledge statement is true); Certain participants; no explicit error possibility mentioned."
design: "Between-Subjects"
design_other: null
moderators:
scenario: "other"
skeptical_pressure: "No"
awareness: "Yes"
evidence: "External"
attribution_person: "First Person"
evidence_reliability: null
moderators_coding:
scenario:
provenance:
page: null
quote: "The scenarios concerned a student, Tracy, who was taking a geography oral exam."
tei_id: null
table_ref: null
reason: "The vignette is a geography oral-exam / world-capitals scenario (not bank/peanuts/bridge/typos)."
skeptical_pressure:
provenance:
page: null
quote: "LOW_EX: Tracy is taking a geography oral exam… Based on her rigorous and in-depth research, Tracy confidently tells the professor, \"I know that the capital of Lithuania is Vilnius\"."
tei_id: null
table_ref: null
reason: "In the low-error vignette, no explicit possibility of error is introduced."
awareness:
provenance:
page: null
quote: "In any case, it is not very important for Tracy that she receive such a globe."
tei_id: null
table_ref: null
reason: "Stakes are part of the vignette description; no manipulation of subject unawareness is used."
evidence:
provenance:
page: null
quote: "Tracy… bought a huge political map of the world that she studied very carefully for the last two weeks, reviewing every world capital."
tei_id: null
table_ref: null
reason: "Evidence comes from an external information source (a political map), held constant across conditions."
attribution_person:
provenance:
page: null
quote: "Tracy confidently tells the professor, \"I know that the capital of Lithuania is Vilnius\"."
tei_id: null
table_ref: null
reason: "Participants evaluate a first-person self-ascribed knowledge utterance ('I know…')."
evidence_reliability:
provenance:
page: null
quote: "Tracy… bought a huge political map…"
tei_id: null
table_ref: null
reason: "Reliability of the evidence source is not specified in a way that maps to the High/Medium/Low reliability coding; coded null."
contrast:
group_high: C_LE_HS
group_low: C_LE_LS
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Table 5 stakes contrast within Certain + low-error conditions: Con 5 (C_LE_LS) vs Con 7 (C_LE_HS)."
groups:
- group_id: C_LE_LS
label: "Con 5 (C_LE_LS): Certain; low error; low stakes"
n: 123
mean: 6.93
sd: 0.33
se: null
provenance:
page: 10
quote: "Con 5 (C_LE_LS),123,6.93,0.33"
tei_id: null
table_ref: "camelot_stream_p10_t1.csv"
- group_id: C_LE_HS
label: "Con 7 (C_LE_HS): Certain; low error; high stakes"
n: 126
mean: 6.92
sd: 0.27
se: null
provenance:
page: 10
quote: "Con 7 (C_LE_HS),126,6.92,0.27"
tei_id: null
table_ref: "camelot_stream_p10_t1.csv"
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: null
provenance:
page: null
quote: null
tei_id: null
table_ref: null
effect_size:
metric: SMD
d: 0.033207864478
v: 0.016068821550
computed_from: "groups"
needs_review: false
notes: "Computed from Table 5 group stats in analysis/effect_sizes.qmd (method=between_groups)."
quality_flags: []
notes: null
- effect_id: s1_e4
subgroup: "Certain, high error: Low vs High stakes (C_HE_LS vs C_HE_HS)"
subgroup_desc: "Knowledge ascription rating (agreement that Tracy's first-person knowledge statement is true); Certain participants; explicit error possibility mentioned."
design: "Between-Subjects"
design_other: null
moderators:
scenario: "other"
skeptical_pressure: "Yes"
awareness: "Yes"
evidence: "External"
attribution_person: "First Person"
evidence_reliability: null
moderators_coding:
scenario:
provenance:
page: null
quote: "The scenarios concerned a student, Tracy, who was taking a geography oral exam."
tei_id: null
table_ref: null
reason: "The vignette is a geography oral-exam / world-capitals scenario (not bank/peanuts/bridge/typos)."
skeptical_pressure:
provenance:
page: null
quote: "It goes without saying that even political maps like the one bought by Tracy might sometimes contain mistakes."
tei_id: null
table_ref: null
reason: "The high-error vignette explicitly introduces a possibility of error (map may contain mistakes)."
awareness:
provenance:
page: null
quote: "If Tracy does not pass the exam, she will lose her scholarship and will have to move to another school… It is therefore very important for Tracy that she answers correctly."
tei_id: null
table_ref: null
reason: "Stakes are explicitly described as consequences for Tracy (implying awareness); no 'unaware' manipulation is used."
evidence:
provenance:
page: null
quote: "Tracy… bought a huge political map of the world that she studied very carefully for the last two weeks, reviewing every world capital."
tei_id: null
table_ref: null
reason: "Evidence comes from studying an external source (political map)."
attribution_person:
provenance:
page: null
quote: "Tracy confidently tells the professor, \"I know that the capital of Lithuania is Vilnius\"."
tei_id: null
table_ref: null
reason: "The target knowledge utterance is first-person ('I know that…')."
evidence_reliability:
provenance:
page: null
quote: "It goes without saying that even political maps… might sometimes contain mistakes."
tei_id: null
table_ref: null
reason: "Evidence-source reliability is not stated in a way that can be cleanly mapped to High/Medium/Low reliability categories; coded null."
contrast:
group_high: C_HE_HS
group_low: C_HE_LS
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Table 5 stakes contrast within Certain + high-error conditions: Con 8 (C_HE_LS) vs Con 6 (C_HE_HS)."
groups:
- group_id: C_HE_LS
label: "Con 8 (C_HE_LS): Certain; high error; low stakes"
n: 117
mean: 6.87
sd: 0.88
se: null
provenance:
page: 10
quote: "Con 8 (C_HE_LS),117,6.87,0.88"
tei_id: null
table_ref: "camelot_stream_p10_t1.csv"
- group_id: C_HE_HS
label: "Con 6 (C_HE_HS): Certain; high error; high stakes"
n: 124
mean: 6.86
sd: 0.40
se: null
provenance:
page: 10
quote: "Con 6 (C_HE_HS),124,6.86,0.40"
tei_id: null
table_ref: "camelot_stream_p10_t1.csv"
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: null
provenance:
page: null
quote: null
tei_id: null
table_ref: null
effect_size:
metric: SMD
d: 0.014773087422
v: 0.016611981254
computed_from: "groups"
needs_review: false
notes: "Computed from Table 5 group stats in analysis/effect_sizes.qmd (method=between_groups)."
quality_flags: []
notes: null