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Record W4360599858 · doi:10.1111/bjdp.12447

Children's sympathy moderates the link between their attentional orientation and ethical guilt

2023· article· en· W4360599858 on OpenAlexafffund
Mishika Mehrotra, Sebastian P. Dys, Tina Malti

Bibliographic record

VenueBritish Journal of Developmental Psychology · 2023
Typearticle
Languageen
FieldPsychology
TopicEmotions and Moral Behavior
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental HealthSimon Fraser University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSympathyPsychologyOrientation (vector space)Social psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

This study examined how children's attentional orientation towards environmental cues, dispositional sympathy and inhibitory control were associated with their ethical guilt. Participants were 4- and 6-year-old children (N = 211; 55% male) from ethnically diverse backgrounds. To assess ethical guilt, children were presented with two vignettes depicting ethical violations and reported how they would feel and why, if they had committed those transgressions. Using eye tracking, we calculated attentional orientation as the percentage of time children attended to other-oriented (i.e., victim) minus self-serving (i.e., object gained by transgressing) cues during these vignettes. Children also reported on their sympathy and completed an observational measure of inhibitory control. Although main effects were not significant, sympathy moderated the link between attentional orientation and ethical guilt: attentional orientation was positively associated with ethical guilt for children with low levels of sympathy but had no effect among those high in sympathy. These findings suggest that practices centred on prompting children to attend to other-oriented cues - and away from self-serving ones - may be effective particularly for children who are generally less sympathetic.

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)0.001
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 score0.604
Threshold uncertainty score0.474

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 integrity0.0000.001
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 head0.050
GPT teacher head0.354
Teacher spread0.303 · 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

Citations3
Published2023
Admission routes2
Has abstractyes

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