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Record W2133070340 · doi:10.1002/icd.631

Children's and adults' conceptualization and evaluation of lying and truth‐telling

2009· article· en· W2133070340 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInfant and Child Development · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsUniversity of Toronto
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsLyingPsychologyCategorizationStatement (logic)ConceptualizationTruth tellingHarmPolitenessSocial psychologyDevelopmental psychologyLinguisticsPsychoanalysis

Abstract

fetched live from OpenAlex

The present study examined children's and adults' categorization and moral judgment of truthful and untruthful statements. 7-, 9-and 11-year-old Chinese children and college students read stories in which story characters made truthful or untruthful statements and were asked to classify and evaluate the statements. The statements varied in terms of whether the speaker intended to help or harm a listener and whether the statement was made in a setting that called for informational accuracy or politeness. Results showed that the communicative intent and setting factors jointly influence children's categorization of lying and truth-telling, which extends an earlier finding (Lee & Ross, 1997) to childhood. Also, we found that children's and adults' moral judgments of lying and truth-telling were influenced by the communicative intent but not the setting factor. The present results were discussed in terms of Sweetser's (1987) folkloristic model of lying.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.909
Threshold uncertainty score0.333

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.314
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it