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The Judge Specificity of Evaluations of Youth Social Behavior: The Case of Peer Provocation

2009· article· en· W1578950906 on OpenAlexaff
Melanie A. Dirks, Teresa A. Treat, V. Robin Weersing

Bibliographic record

VenueSocial Development · 2009
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychologyAggressionProvocation testDevelopmental psychologyAssertivenessSocial competenceCompetence (human resources)Peer groupSocial psychologySocial skillsIntervention (counseling)Social change

Abstract

fetched live from OpenAlex

Abstract Increasingly, theorists have suggested that social competence is an evaluative construct that will vary as a function of who is judging behavior. This study examined how two key groups in children's social environments—peers (N = 663, age range = 10.83–15.25 years) and teachers (N = 49)—rated the effectiveness of different behaviors generated by youth in response to physical, verbal, and relational provocation by peers. Results indicated that youth evaluated aggressive responses as more effective than teachers whereas teachers evaluated seeking an explanation as more effective than youth. Both groups judged responses combining assertive and aggressive elements to be more effective than ‘pure’ aggression. Implications for measurement and intervention models of social competence 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.039
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.006
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.002
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 head0.068
GPT teacher head0.369
Teacher spread0.301 · 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 source (direct Gemma or distilled Codex), 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

Citations30
Published2009
Admission routes1
Has abstractyes

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