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Record W2322461290 · doi:10.1037/a0035993

Japanese and American children’s moral evaluations of reporting on transgressions.

2014· article· en· W2322461290 on OpenAlexafffund
Ivy Chiu Loke, Gail D. Heyman, Shoji Itakura, Rie Toriyama, Kang Lee

Bibliographic record

VenueDevelopmental Psychology · 2014
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of Toronto
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentSocial Sciences and Humanities Research Council of CanadaNational Institutes of Health
KeywordsPsychologyEmpathyMinor (academic)Developmental psychologySocial cognitionCognitionSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

American and Japanese children's evaluations of the reporting of peers' transgressions to authority figures were investigated. Seven-, 9-, and 11-year-old children (N = 160) and adults (N = 62) were presented with vignettes and were asked to evaluate the decisions of child observers who reported their friend's either major or relatively minor transgression to a teacher. The results showed that, in both countries, participants across all age groups considered it appropriate to report major transgressions. However, compared with older participants, the youngest children thought it was appropriate to tattle (i.e., to report more minor transgressions). The results also showed a cross-cultural difference: Japanese compared with American participants considered it appropriate to report minor transgressions. The age-related findings are discussed with reference to children's social experience and improving cognition. The cross-cultural findings are discussed with reference to potential differences in the emphases placed on respecting authority relationships, empathy, and social interdependence by the 2 cultures.

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.

How this classification was reachedexpand

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.142
GPT teacher head0.451
Teacher spread0.309 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations33
Published2014
Admission routes2
Has abstractyes

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