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Record W4382245509 · doi:10.1111/sode.12695

Developmental deviations in happy victimization across early childhood predict behavioral adjustment in middle childhood

2023· article· en· W4382245509 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

VenueSocial Development · 2023
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsProsocial behaviorAggressionPsychologyDevelopmental psychologyLate childhoodNormativeEarly childhood

Abstract

fetched live from OpenAlex

Abstract This study examined whether the development of happy victimizing (HV) from early to middle childhood predicted prosocial and aggressive behaviors 3 years later. Participants included 150 children (50% female, M age at study onset = 4.53 years) and their parents at four annual time points. At each time point, semi‐structured interviews were conducted to assess children's emotional expectations after committing hypothetical transgressions. Child and parent reports of children's prosocial behaviors and aggression were provided at the beginning and end of the study. Children who experienced faster declines in HV reported higher prosocial behaviors 3 years later, controlling for initial levels of prosocial behaviors. Children who exhibited increases or lesser declines in HV reported higher aggression at the study end. The development of HV was not related significantly to parent reports of prosocial behaviors and aggression in middle childhood. Findings confirm theorizing on the normative developmental trajectory of HV and suggest that deviations in HV across early childhood may partially explain later behavioral adjustment.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.516
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.032
GPT teacher head0.308
Teacher spread0.276 · 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