Extraction report — Spatan & Semenescu 2024

Source: papers/spatansemenescundfeelingcertaintyshiftiness/spatansemenescundfeelingcertaintyshiftiness.yaml · Generated: 2026-02-10 16:26 UTC
1 studies4 effects

Paper

paper_idspatansemenescundfeelingcertaintyshiftiness
short_labelSpatan & Semenescu 2024
citationSpatan, S., & Semenescu, A. (2024). Feeling of Certainty and the Shiftiness of Knowledge Utterances. https://doi.org/10.4396/2024205
doi10.4396/2024205
year2024
publishedYes
languageEnglish
language_other
research_objectiveTest 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
notesTEI 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 (Prolific; Error × Stakes; certainty grouping via trivia + confidence)

study_id: 1

Study

study_id1
labelStudy (Prolific; Error × Stakes; certainty grouping via trivia + confidence)
objectiveExamine 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.
designBetween-Subjects
design_other2 (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_factorsError-possibility mention: mentioned vs not; Certainty grouping: trivia accuracy + confidence rating (Certain vs Uncertain)
paradigmAgreement that a sentence is true
paradigm_other
notes

Sample

n_final883
recruitmentProlific
recruitment_other
compensationmoney
compensation_other
characteristicsFinal sample after exclusions; 64.2% female, 35% male, 0.8% other; age distribution reported in paper.
mean_age
Provenance
page
table_ref
tei_id
A total of 889 participants were recruited via Prolific Academic and compensated financially… resulting thus in a final sample of 883 persons.

Scale

labelLikert 7-point
points7
anchors1 = strongly disagree; 2 = disagree; 3 = somewhat disagree; 4 = neither agree nor disagree; 5 = somewhat agree; 6 = agree; 7 = strongly agree
directionHigher numbers indicate stronger agreement that Tracy's statement is true (higher knowledge ascription).
Provenance
page
table_ref
tei_id
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".

Measures

knowledge_question_textPlease 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_textOn 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

Scenarios (1)
other · Geography oral exam / world-capitals vignette (Tracy answers what the capital of Lithuania/France is).
scenario_codeother
scenario_typeGeography 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
table_ref
tei_id
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."

Effects

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

effect_ids1_e1
subgroupUncertain, low error: Low vs High stakes (U_LE_LS vs U_LE_HS)
subgroup_descKnowledge ascription rating (agreement that Tracy's first-person knowledge statement is true); Uncertain participants; no explicit error possibility mentioned.
designBetween-Subjects
design_other
quality_flags
notes

Effect Size

metricSMD
d-0.184769596817
v0.020923174923
computed_fromgroups
needs_reviewfalse
notesComputed from Table 5 group stats in analysis/effect_sizes.qmd (method=between_groups).

Moderators

scenarioother
skeptical_pressureNo
awarenessYes
evidenceExternal
attribution_personFirst Person
evidence_reliability

Contrast

group_highU_LE_HS
group_lowU_LE_LS
sign_conventiond = mean(low) - mean(high)
other_notesTable 5 stakes contrast within Uncertain + low-error conditions: Con 1 (U_LE_LS) vs Con 3 (U_LE_HS).

Moderator Coding

moderatorvaluereasonevidence
scenariootherThe vignette is a geography oral-exam / world-capitals scenario, which does not match the predefined bank/peanuts/bridge/typos categories.
Provenance
page
table_ref
tei_id
The scenarios concerned a student, Tracy, who was taking a geography oral exam.
skeptical_pressureNoIn the low-error vignette, no explicit possibility of error is introduced to undermine the target proposition.
Provenance
page
table_ref
tei_id
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".
awarenessYesStakes (low vs high) are described as features of Tracy's situation; no 'unaware' manipulation is used.
Provenance
page
table_ref
tei_id
In any case, it is not very important for Tracy that she receive such a globe.
evidenceExternalTracy's evidential basis is studying an external information source (a political map), held constant across conditions.
Provenance
page
table_ref
tei_id
Tracy… bought a huge political map of the world that she studied very carefully for the last two weeks, reviewing every world capital.
attribution_personFirst PersonThe target knowledge utterance is a first-person self-ascription ('I know that…').
Provenance
page
table_ref
tei_id
Tracy confidently tells the professor, "I know that the capital of Lithuania is Vilnius".
evidence_reliabilityReliability of the evidence source is not stated in a way that cleanly maps to the High/Medium/Low evidence-reliability coding; coded null.
Provenance
page
table_ref
tei_id
Tracy… bought a huge political map of the world that she studied very carefully…

Groups

group_idlabelnmeansdseprovenance
U_LE_LSCon 1 (U_LE_LS): Uncertain; low error; low stakes965.411.23
Provenance
page10
table_refcamelot_stream_p10_t1.csv
tei_id
Con 1 (U_LE_LS),96,5.41,1.23
U_LE_HSCon 3 (U_LE_HS): Uncertain; low error; high stakes965.631.15
Provenance
page10
table_refcamelot_stream_p10_t1.csv
tei_id
Con 3 (U_LE_HS),96,5.63,1.15

Reported Test

test
t
f
chi2
z
df1
df2
p
reported_d
reported_r
notes

Quality Flags

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

effect_ids1_e2
subgroupUncertain, high error: Low vs High stakes (U_HE_LS vs U_HE_HS)
subgroup_descKnowledge ascription rating (agreement that Tracy's first-person knowledge statement is true); Uncertain participants; explicit error possibility mentioned.
designBetween-Subjects
design_other
quality_flags
notes

Effect Size

metricSMD
d0.115503856238
v0.019973996645
computed_fromgroups
needs_reviewfalse
notesComputed from Table 5 group stats in analysis/effect_sizes.qmd (method=between_groups).

Moderators

scenarioother
skeptical_pressureYes
awarenessYes
evidenceExternal
attribution_personFirst Person
evidence_reliability

Contrast

group_highU_HE_HS
group_lowU_HE_LS
sign_conventiond = mean(low) - mean(high)
other_notesTable 5 stakes contrast within Uncertain + high-error conditions: Con 4 (U_HE_LS) vs Con 2 (U_HE_HS).

Moderator Coding

moderatorvaluereasonevidence
scenariootherThe vignette is a geography oral-exam / world-capitals scenario (not bank/peanuts/bridge/typos).
Provenance
page
table_ref
tei_id
The scenarios concerned a student, Tracy, who was taking a geography oral exam.
skeptical_pressureYesThe high-error vignette explicitly introduces an error possibility (map may contain mistakes), increasing skeptical pressure.
Provenance
page
table_ref
tei_id
It goes without saying that even political maps like the one bought by Tracy might sometimes contain mistakes.
awarenessYesHigh-stakes consequences are described as facts about Tracy's situation; no 'unaware' manipulation is used.
Provenance
page
table_ref
tei_id
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.
evidenceExternalTracy's evidential basis is studying an external information source (a political map).
Provenance
page
table_ref
tei_id
Tracy… bought a huge political map of the world that she studied very carefully for the last two weeks, reviewing every world capital.
attribution_personFirst PersonThe knowledge utterance under evaluation is a first-person self-ascription ('I know that…').
Provenance
page
table_ref
tei_id
Tracy confidently tells the professor, "I know that the capital of Lithuania is Vilnius".
evidence_reliabilityAlthough 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
page
table_ref
tei_id
It goes without saying that even political maps… might sometimes contain mistakes.

Groups

group_idlabelnmeansdseprovenance
U_HE_LSCon 4 (U_HE_LS): Uncertain; high error; low stakes1055.21.39
Provenance
page10
table_refcamelot_stream_p10_t1.csv
tei_id
Con 4 (U_HE_LS),105,5.20,1.39
U_HE_HSCon 2 (U_HE_HS): Uncertain; high error; high stakes965.041.38
Provenance
page10
table_refcamelot_stream_p10_t1.csv
tei_id
Con 2 (U_HE_HS),96,5.04,1.38

Reported Test

test
t
f
chi2
z
df1
df2
p
reported_d
reported_r
notes

Quality Flags

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

effect_ids1_e3
subgroupCertain, low error: Low vs High stakes (C_LE_LS vs C_LE_HS)
subgroup_descKnowledge ascription rating (agreement that Tracy's first-person knowledge statement is true); Certain participants; no explicit error possibility mentioned.
designBetween-Subjects
design_other
quality_flags
notes

Effect Size

metricSMD
d0.033207864478
v0.01606882155
computed_fromgroups
needs_reviewfalse
notesComputed from Table 5 group stats in analysis/effect_sizes.qmd (method=between_groups).

Moderators

scenarioother
skeptical_pressureNo
awarenessYes
evidenceExternal
attribution_personFirst Person
evidence_reliability

Contrast

group_highC_LE_HS
group_lowC_LE_LS
sign_conventiond = mean(low) - mean(high)
other_notesTable 5 stakes contrast within Certain + low-error conditions: Con 5 (C_LE_LS) vs Con 7 (C_LE_HS).

Moderator Coding

moderatorvaluereasonevidence
scenariootherThe vignette is a geography oral-exam / world-capitals scenario (not bank/peanuts/bridge/typos).
Provenance
page
table_ref
tei_id
The scenarios concerned a student, Tracy, who was taking a geography oral exam.
skeptical_pressureNoIn the low-error vignette, no explicit possibility of error is introduced.
Provenance
page
table_ref
tei_id
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".
awarenessYesStakes are part of the vignette description; no manipulation of subject unawareness is used.
Provenance
page
table_ref
tei_id
In any case, it is not very important for Tracy that she receive such a globe.
evidenceExternalEvidence comes from an external information source (a political map), held constant across conditions.
Provenance
page
table_ref
tei_id
Tracy… bought a huge political map of the world that she studied very carefully for the last two weeks, reviewing every world capital.
attribution_personFirst PersonParticipants evaluate a first-person self-ascribed knowledge utterance ('I know…').
Provenance
page
table_ref
tei_id
Tracy confidently tells the professor, "I know that the capital of Lithuania is Vilnius".
evidence_reliabilityReliability of the evidence source is not specified in a way that maps to the High/Medium/Low reliability coding; coded null.
Provenance
page
table_ref
tei_id
Tracy… bought a huge political map…

Groups

group_idlabelnmeansdseprovenance
C_LE_LSCon 5 (C_LE_LS): Certain; low error; low stakes1236.930.33
Provenance
page10
table_refcamelot_stream_p10_t1.csv
tei_id
Con 5 (C_LE_LS),123,6.93,0.33
C_LE_HSCon 7 (C_LE_HS): Certain; low error; high stakes1266.920.27
Provenance
page10
table_refcamelot_stream_p10_t1.csv
tei_id
Con 7 (C_LE_HS),126,6.92,0.27

Reported Test

test
t
f
chi2
z
df1
df2
p
reported_d
reported_r
notes

Quality Flags

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

effect_ids1_e4
subgroupCertain, high error: Low vs High stakes (C_HE_LS vs C_HE_HS)
subgroup_descKnowledge ascription rating (agreement that Tracy's first-person knowledge statement is true); Certain participants; explicit error possibility mentioned.
designBetween-Subjects
design_other
quality_flags
notes

Effect Size

metricSMD
d0.014773087422
v0.016611981254
computed_fromgroups
needs_reviewfalse
notesComputed from Table 5 group stats in analysis/effect_sizes.qmd (method=between_groups).

Moderators

scenarioother
skeptical_pressureYes
awarenessYes
evidenceExternal
attribution_personFirst Person
evidence_reliability

Contrast

group_highC_HE_HS
group_lowC_HE_LS
sign_conventiond = mean(low) - mean(high)
other_notesTable 5 stakes contrast within Certain + high-error conditions: Con 8 (C_HE_LS) vs Con 6 (C_HE_HS).

Moderator Coding

moderatorvaluereasonevidence
scenariootherThe vignette is a geography oral-exam / world-capitals scenario (not bank/peanuts/bridge/typos).
Provenance
page
table_ref
tei_id
The scenarios concerned a student, Tracy, who was taking a geography oral exam.
skeptical_pressureYesThe high-error vignette explicitly introduces a possibility of error (map may contain mistakes).
Provenance
page
table_ref
tei_id
It goes without saying that even political maps like the one bought by Tracy might sometimes contain mistakes.
awarenessYesStakes are explicitly described as consequences for Tracy (implying awareness); no 'unaware' manipulation is used.
Provenance
page
table_ref
tei_id
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.
evidenceExternalEvidence comes from studying an external source (political map).
Provenance
page
table_ref
tei_id
Tracy… bought a huge political map of the world that she studied very carefully for the last two weeks, reviewing every world capital.
attribution_personFirst PersonThe target knowledge utterance is first-person ('I know that…').
Provenance
page
table_ref
tei_id
Tracy confidently tells the professor, "I know that the capital of Lithuania is Vilnius".
evidence_reliabilityEvidence-source reliability is not stated in a way that can be cleanly mapped to High/Medium/Low reliability categories; coded null.
Provenance
page
table_ref
tei_id
It goes without saying that even political maps… might sometimes contain mistakes.

Groups

group_idlabelnmeansdseprovenance
C_HE_LSCon 8 (C_HE_LS): Certain; high error; low stakes1176.870.88
Provenance
page10
table_refcamelot_stream_p10_t1.csv
tei_id
Con 8 (C_HE_LS),117,6.87,0.88
C_HE_HSCon 6 (C_HE_HS): Certain; high error; high stakes1246.860.4
Provenance
page10
table_refcamelot_stream_p10_t1.csv
tei_id
Con 6 (C_HE_HS),124,6.86,0.40

Reported Test

test
t
f
chi2
z
df1
df2
p
reported_d
reported_r
notes

Quality Flags

Raw YAML
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