Extraction report — Białka 2022

schema_version: "1.2"
extraction_run:
  created_at: "2026-05-06T00:00:00+02:00"
  created_by: "Codex"
  source_files:
    - "pdf/paper.pdf"
    - "data/daneZBlic.csv"
    - "data/ZBiałka_Analiza danych_metaanalizy.rmd"
    - "data/ZBiałka_tabele2.xlsx"
  notes: "Thesis used for materials/procedure; dataset and local analysis script used as numeric source of truth."
paper:
  paper_id: bialka2022stawkawycofanie
  citation: "Białka, Z. (2022). Wpływ stawki na wycofanie przypisania wiedzy. Inwariantyzm klasyczny a intuicje potoczne. BA thesis, University of Warsaw."
  short_label: "Białka 2022"
  doi: null
  published: "No"
  year: 2022
  language: other
  language_other: Polish
  research_objective: "Test whether Polish speakers are more willing to retract a prior self-ascription of knowledge when practical stakes are high rather than low."
  data_availability:
    data_available_online: "No"
    url: null
    notes: "Unpublished local thesis dataset and manual analysis files are copied into this paper directory."
  notes: "The thesis reports N=186 with 51 attention-check exclusions; the local dataset/script contain 204 complete LimeSurvey records and exclude 52 IDs. Effects use the dataset/script."
studies:
  - study_id: 1
    label: "Retraction of knowledge self-ascription"
    language: other
    language_other: Polish
    objective: "Compare retraction of an initial first-person knowledge claim in high-stakes versus low-stakes variants of the same scenario."
    sample:
      n_final: 152
      recruitment: volunteers recruited via social media
      recruitment_other: null
      compensation: null
      compensation_other: null
      characteristics: "Online volunteer sample; thesis reports ages 16-71 among retained participants, mean age 30."
      provenance:
        page: 58
        quote: "W badaniu wzięło udział 186 osób. Odpowiedzi 51 z nich zostały odrzucone..."
        tei_id: null
        table_ref: null
      mean_age: 30
      mean_age_prov:
        page: 58
        quote: "Badani, których odpowiedzi były poprawne, byli w przedziale wiekowym od 16 do 71 lat, średnia wieku wyniosła 30 lat."
        tei_id: null
        table_ref: null
    design: null
    design_other: "Mixed within-person survey sequence; the retained same-scenario high-vs-low contrasts are between-subjects because each scenario appears in only one stakes condition per respondent group."
    manipulated_factors:
      - "Stakes condition: low, high, or contrary-evidence condition"
      - "Scenario: proofreading essay, city transit card, bank-hours"
    paradigm: Retraction of knowledge attribution
    paradigm_other: null
    scale:
      label: composite-score
      points: null
      anchors: "-7 to 7 composite from binary knowledge/retraction response multiplied by 1-7 confidence"
      direction: "Higher values indicate stronger tendency to maintain the knowledge claim with higher confidence."
      provenance:
        page: 56
        quote: "na ile, w skali od 1(bardzo niepewny(-a)) do 7 (bardzo pewny(-a)) jesteś pewny(-a)"
        tei_id: null
        table_ref: null
    measures:
      knowledge_question_text: "Wybierz proszę odpowiedź, której byłbyś/byłabyś bardziej skłonny(-a) udzielić: Wiem... / Nie wiem..."
      knowledge_question_first: "Yes"
      additional_question_text: "Confidence in the preceding response on a 1-7 scale."
    scenarios:
      - scenario_code: typos
        scenario_type: "Proofreading joint English assignment"
        high_stakes_text: "Hanna's scholarship depends on receiving a high grade; a remaining typo would likely prevent this."
        low_stakes_text: "Hanna recommends songs by Kwiat Jabłoni; the new information does not affect whether the assignment contains errors."
        provenance:
          page: 53
          quote: "Wypracowanie - wysoka stawka... Jej stypendium od tego zależy..."
          tei_id: null
          table_ref: null
      - scenario_code: bank
        scenario_type: "Bank-hours / bank open on Saturday"
        high_stakes_text: "Ala must pay a semester-repeatment installment or be removed from the student list."
        low_stakes_text: "The new information is an unrelated phone call about dinner at home."
        provenance:
          page: 75
          quote: "Bank – wysoka stawka... jutro musi koniecznie opłacić ratę za powtarzanie semestru."
          tei_id: null
          table_ref: null
      - scenario_code: other
        scenario_type: "City transit card validity"
        high_stakes_text: "Potential ticket inspectors enter the tram."
        low_stakes_text: "Karolina talks about the museum exhibition."
        provenance:
          page: 75
          quote: "Karta – wysoka stawka... do tramwaju wsiądzie zaraz dwóch mężczyzn ubranych na czarno..."
          tei_id: null
          table_ref: null
    effects:
      - effect_id: s1_e1
        subgroup: "Wypracowanie: high vs low stakes"
        subgroup_desc: "Proofreading scenario; same-scenario high-low contrast"
        design: Between-Subjects
        design_other: null
        moderators: &bialka_typos_mods
          scenario: typos
          skeptical_pressure: "No"
          awareness: "Yes"
          evidence: First Person
          attribution_person: First Person
          evidence_reliability: High
        moderators_coding: &bialka_typos_coding
          scenario:
            provenance:
              page: 53
              quote: "Ty i Hanna pisałyście wspólną pracę... czy w pracy nie ma żadnych literówek"
              tei_id: null
              table_ref: null
            reason: "The target proposition concerns whether a proofread assignment contains errors; this matches the typos scenario."
          skeptical_pressure:
            provenance:
              page: 53
              quote: "niską stawką... informacja nie dotyczy... wysoką stawką... stawka rośnie"
              tei_id: null
              table_ref: null
            reason: "The retained high/low variants manipulate consequences, not a contrary-evidence cue; the contrary-evidence condition is not used here."
          awareness:
            provenance:
              page: 53
              quote: "Hanna przyznaje Ci się, że otrzymanie piątki... jest to dla niej niezwykle ważne."
              tei_id: null
              table_ref: null
            reason: "The respondent-protagonist is directly told the high-stakes consequence before answering."
          evidence:
            provenance:
              page: 53
              quote: "Przeczytałaś uważnie pracę 3 razy i skorzystałaś ze słownika..."
              tei_id: null
              table_ref: null
            reason: "The epistemic basis is the respondent-protagonist's own checking/proofreading."
          attribution_person:
            provenance:
              page: 53
              quote: "Odpowiadasz: „Wiem, że w pracy nie ma już żadnych błędów”."
              tei_id: null
              table_ref: null
            reason: "The target is a first-person knowledge self-ascription by the respondent-protagonist."
          evidence_reliability:
            provenance:
              page: 53
              quote: "Przeczytałaś uważnie pracę 3 razy i skorzystałaś ze słownika..."
              tei_id: null
              table_ref: null
            reason: "Repeated proofreading plus dictionary use is presented as a strong checking procedure."
        contrast:
          group_high: wypracowanie_high
          group_low: wypracowanie_low
          sign_convention: "d = mean(low) - mean(high)"
          other_notes: "Low/high same-scenario contrast; contrary-evidence condition excluded from primary effect."
        groups:
          - group_id: wypracowanie_low
            label: "Wypracowanie - niska stawka"
            n: 49
            mean: 2.795918367347
            sd: 4.9748517224
            se: null
            provenance:
              page: null
              quote: "Computed from daneZBlic.csv after the exclusion vector in ZBiałka_Analiza danych_metaanalizy.rmd."
              tei_id: null
              table_ref: "daneZBlic.csv; ZBiałka_Analiza danych_metaanalizy.rmd"
          - group_id: wypracowanie_high
            label: "Wypracowanie - wysoka stawka"
            n: 44
            mean: -0.590909090909
            sd: 5.47432987008
            se: null
            provenance:
              page: null
              quote: "Computed from daneZBlic.csv after the exclusion vector in ZBiałka_Analiza danych_metaanalizy.rmd."
              tei_id: null
              table_ref: "daneZBlic.csv; ZBiałka_Analiza danych_metaanalizy.rmd"
        reported_test:
          test: t
          t: -3.109692050591
          df1: 87.3766067593
          p: 0.00252875546623
          notes: "Welch t-test computed in analysis/effect_sizes.qmd as high minus low; manual Rmd table Bonferroni-adjusts p-values."
          provenance:
            page: null
            quote: "Recomputed from dataset; source script compares AngSLikertO with AngNLikertO."
            tei_id: null
            table_ref: "analysis/effect_sizes.qmd"
        effect_size:
          metric: SMD
          d: 0.649211530121
          v: 0.0454014339003
          computed_from: groups
          needs_review: false
          notes: "Computed from raw group means/SDs in analysis/effect_sizes.qmd using esc::esc_mean_sd."
        quality_flags:
          - thesis_dataset_n_discrepancy
        notes: null
      - effect_id: s1_e2
        subgroup: "Karta: high vs low stakes"
        subgroup_desc: "City transit card scenario; same-scenario high-low contrast"
        design: Between-Subjects
        design_other: null
        moderators:
          scenario: other
          skeptical_pressure: "Yes"
          awareness: "Yes"
          evidence: First Person
          attribution_person: First Person
          evidence_reliability: Medium
        moderators_coding:
          scenario:
            provenance:
              page: 75
              quote: "Karta – początek... Twoja karta miejska jest ważna."
              tei_id: null
              table_ref: null
            reason: "The vignette concerns city transit card validity, which is not in the fixed scenario vocabulary."
          skeptical_pressure:
            provenance:
              page: 75
              quote: "Karolina zwraca uwagę... powinnaś sprawdzić na kasowniku, czy Twoja karta miejska jest na pewno nadal aktywna."
              tei_id: null
              table_ref: null
            reason: "A companion explicitly suggests checking whether the card is active."
          awareness:
            provenance:
              page: 75
              quote: "Zauważacie, że do tramwaju wsiądzie zaraz dwóch mężczyzn... którzy mogą okazać się kontrolerami biletów."
              tei_id: null
              table_ref: null
            reason: "The high-stakes consequence is made salient before the response."
          evidence:
            provenance:
              page: 75
              quote: "Pamiętasz jednak, że kupiłaś bilet dopiero na początku tego miesiąca..."
              tei_id: null
              table_ref: null
            reason: "The main basis is the respondent-protagonist's own memory of buying the monthly ticket."
          attribution_person:
            provenance:
              page: 75
              quote: "Mówisz Karolinie: “Wiem, że moja karta miejska jest ważna”."
              tei_id: null
              table_ref: null
            reason: "The target is a first-person knowledge self-ascription."
          evidence_reliability:
            provenance:
              page: 75
              quote: "Pamiętasz jednak, że kupiłaś bilet dopiero na początku tego miesiąca..."
              tei_id: null
              table_ref: null
            reason: "Memory of a recent ticket purchase is ordinary but fallible; coded Medium."
        contrast:
          group_high: karta_high
          group_low: karta_low
          sign_convention: "d = mean(low) - mean(high)"
          other_notes: "Low/high same-scenario contrast; contrary-evidence condition excluded from primary effect."
        groups:
          - group_id: karta_low
            label: "Karta - niska stawka"
            n: 44
            mean: 4.590909090909
            sd: 3.78072333314
            se: null
            provenance:
              page: null
              quote: "Computed from daneZBlic.csv after the exclusion vector in ZBiałka_Analiza danych_metaanalizy.rmd."
              tei_id: null
              table_ref: "daneZBlic.csv; ZBiałka_Analiza danych_metaanalizy.rmd"
          - group_id: karta_high
            label: "Karta - wysoka stawka"
            n: 41
            mean: 4.439024390244
            sd: 3.98778623103
            se: null
            provenance:
              page: null
              quote: "Computed from daneZBlic.csv after the exclusion vector in ZBiałka_Analiza danych_metaanalizy.rmd."
              tei_id: null
              table_ref: "daneZBlic.csv; ZBiałka_Analiza danych_metaanalizy.rmd"
        reported_test:
          test: t
          t: -0.179909056525
          df1: 81.7306229759
          p: 0.85766927671492
          notes: "Welch t-test computed in analysis/effect_sizes.qmd as high minus low; manual Rmd table Bonferroni-adjusts p-values."
          provenance:
            page: null
            quote: "Recomputed from dataset; source script compares KartaSLikertO with KartaNLikertO."
            tei_id: null
            table_ref: "analysis/effect_sizes.qmd"
        effect_size:
          metric: SMD
          d: 0.0391264649043
          v: 0.0471265218077
          computed_from: groups
          needs_review: false
          notes: "Computed from raw group means/SDs in analysis/effect_sizes.qmd using esc::esc_mean_sd."
        quality_flags:
          - thesis_dataset_n_discrepancy
        notes: null
      - effect_id: s1_e3
        subgroup: "Bank: high vs low stakes"
        subgroup_desc: "Bank-hours scenario; same-scenario high-low contrast"
        design: Between-Subjects
        design_other: null
        moderators:
          scenario: bank
          skeptical_pressure: "Yes"
          awareness: "Yes"
          evidence: First Person
          attribution_person: First Person
          evidence_reliability: Medium
        moderators_coding:
          scenario:
            provenance:
              page: 75
              quote: "Wiem, że bank będzie jutro otwarty."
              tei_id: null
              table_ref: null
            reason: "The target proposition concerns whether the bank will be open tomorrow."
          skeptical_pressure:
            provenance:
              page: 75
              quote: "Ala zauważa, że “banki nie w każdy weekend są otwarte”."
              tei_id: null
              table_ref: null
            reason: "The companion explicitly raises an alternative possibility about bank opening hours."
          awareness:
            provenance:
              page: 75
              quote: "wpłacenie pieniędzy jest dla niej bardzo ważne... zostanie skreślona z listy studentów"
              tei_id: null
              table_ref: null
            reason: "The high-stakes consequence is explained before the response."
          evidence:
            provenance:
              page: 75
              quote: "przypominasz sobie jednak, że dwa tygodnie temu byłaś w banku właśnie w sobotę rano"
              tei_id: null
              table_ref: null
            reason: "The main basis is the respondent-protagonist's own prior visit/memory."
          attribution_person:
            provenance:
              page: 75
              quote: "mówisz Ali: “Wiem, że bank będzie jutro otwarty”."
              tei_id: null
              table_ref: null
            reason: "The target is a first-person knowledge self-ascription."
          evidence_reliability:
            provenance:
              page: 75
              quote: "dwa tygodnie temu byłaś w banku właśnie w sobotę rano"
              tei_id: null
              table_ref: null
            reason: "Memory plus projection from a prior Saturday visit is ordinary but fallible; coded Medium."
        contrast:
          group_high: bank_high
          group_low: bank_low
          sign_convention: "d = mean(low) - mean(high)"
          other_notes: "Low/high same-scenario contrast; contrary-evidence condition excluded from primary effect."
        groups:
          - group_id: bank_low
            label: "Bank - niska stawka"
            n: 41
            mean: 0.121951219512
            sd: 5.65329603838
            se: null
            provenance:
              page: null
              quote: "Computed from daneZBlic.csv after the exclusion vector in ZBiałka_Analiza danych_metaanalizy.rmd."
              tei_id: null
              table_ref: "daneZBlic.csv; ZBiałka_Analiza danych_metaanalizy.rmd"
          - group_id: bank_high
            label: "Bank - wysoka stawka"
            n: 49
            mean: -2.408163265306
            sd: 4.79981929932
            se: null
            provenance:
              page: null
              quote: "Computed from daneZBlic.csv after the exclusion vector in ZBiałka_Analiza danych_metaanalizy.rmd."
              tei_id: null
              table_ref: "daneZBlic.csv; ZBiałka_Analiza danych_metaanalizy.rmd"
        reported_test:
          test: t
          t: -2.263297506371
          df1: 78.8884935297
          p: 0.02636563450937
          notes: "Welch t-test computed in analysis/effect_sizes.qmd as high minus low; manual Rmd table Bonferroni-adjusts p-values."
          provenance:
            page: null
            quote: "Recomputed from dataset; source script compares BankSLikertO with BankNLikertO."
            tei_id: null
            table_ref: "analysis/effect_sizes.qmd"
        effect_size:
          metric: SMD
          d: 0.486079952873
          v: 0.0461110389488
          computed_from: groups
          needs_review: false
          notes: "Computed from raw group means/SDs in analysis/effect_sizes.qmd using esc::esc_mean_sd."
        quality_flags:
          - thesis_dataset_n_discrepancy
        notes: null
    notes: "Effects exclude the separate 'dowód' condition and scenario-confounded paired comparisons from the manual Rmd."