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Record W4404234502 · doi:10.1016/j.jecp.2024.106119

Smiling, face covering, and rhythmic body rocking in children who cheat versus do not cheat

2024· article· en· W4404234502 on OpenAlexafffund
Liyuzhi D. Dong, Kanza Batool, Catherine Ann Cameron, Kang Lee

Bibliographic record

VenueJournal of Experimental Child Psychology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAcademic integrity and plagiarism
Canadian institutionsUniversity of British ColumbiaUniversity of Toronto
FundersSocial Sciences and Humanities Research CouncilSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyRhythmFace (sociological concept)Developmental psychologyCognitive psychologyLinguistics

Abstract

fetched live from OpenAlex

Cheating is the behavioral realization of immoral decisions. It is a dynamic process that does not begin or end on the enactment of cheating. However, little research has closely looked at the behavioral dynamics of the cheating process. The current study analyzed smiling, face covering, and rhythmic body rocking among 4- to 7-year-old children (N = 120) who participated in a challenging math test. We compared these target expressive behaviors from baseline practice trials to the critical test trial. Compared with children who did not cheat, we found that those who cheated were more likely to display smiling during the critical test trial, and those who cheated were more likely to cover their faces throughout the experiment even before they had the opportunity to cheat. Rhythmic body rocking did not differ between cheating and non-cheating children. The study identified behavioral differences between children who cheated and those who did not cheat, laying the groundwork for understanding children's cheating behaviors from the lens of behavioral dynamics. It also suggests that with further research there might be some potential for distinguishing between these groups based on behavioral cues.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score0.792

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 integrity0.0010.002
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 head0.021
GPT teacher head0.373
Teacher spread0.352 · 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 designQualitative
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

Citations0
Published2024
Admission routes2
Has abstractyes

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