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Record W2081868205 · doi:10.1111/jora.12028

Implicit and Explicit Peer Evaluation: Associations With Early Adolescents’ Prosociality, Aggression, and Bullying

2013· article· en· W2081868205 on OpenAlexaff
Tessa A. M. Lansu, Antonius H. N. Cillessen, William M. Bukowski

Bibliographic record

VenueJournal of Research on Adolescence · 2013
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsConcordia University
Fundersnot available
KeywordsProsocial behaviorPsychologyAggressionDevelopmental psychologyIntervention (counseling)Peer victimizationSocial psychologyPoison controlHuman factors and ergonomics

Abstract

fetched live from OpenAlex

Implicit and explicit peer evaluations were assessed among 120 early adolescents (56 boys, 64 girls; M age = 11.1 years). Explicit peer evaluations were round‐robin ratings of likeability; implicit peer evaluations were assessed with an approach‐avoidance task, also using a round‐robin design. Prosocial behavior, aggression, and bullying were assessed with a standard peer nominations procedure. Prosocial behavior predicted explicit positive evaluations given and received. Bullying and physical aggression predicted receiving explicit negative evaluations from peers. Implicit negative biases were found for girls but not boys. Relationally aggressive girls and bullying girls showed a negative implicit bias toward their peers. Possible implications for intervention are discussed.

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)0.004
metaresearch head score (Gemma)0.001
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 score0.028
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.089
GPT teacher head0.420
Teacher spread0.330 · 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

Citations22
Published2013
Admission routes1
Has abstractyes

Explore more

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