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Record W1488043916

Testing the Normative Hypothesis of Relational Aggression and Psychopathology through Gender and Age Moderation

2012· dissertation· en· W1488043916 on OpenAlexfundno aff
Sarah Kane

Bibliographic record

VenueTSpace (University of Toronto) · 2012
Typedissertation
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNormativeAggressionPsychologyModerationPsychopathologyDevelopmental psychologyMultilevel modelDevelopmental psychopathologySocial psychologyClinical psychology
DOInot available

Abstract

fetched live from OpenAlex

The gender normative hypothesis of relational aggression and psychopathology states that relational aggression is more detrimental to boys than it is to girls because relational aggression is more normative in girls. In the present study, this hypothesis was tested in a large sample of 6-to-18-year-old children and this hypothesis was also extended to the domain of age norms. Specifically, it was tested whether relational aggression would also be most detrimental outside of the age in which it is most normative. The results showed some evidence supporting the gender normative hypothesis. Specifically, it was found that relationally aggressive boys suffered more internalizing and externalizing problems than non-relationally aggressive boys did. Relationally aggressive girls, however, suffered only more externalizing problems than non-relationally aggressive girls did. Results did not support the age normative hypothesis. Implications of these findings and future directions are discussed. iii Acknowledgments Firstly, I would like to thank my supervisor, Dr. Jennifer L. Tackett, for all of invaluable

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)0.006
metaresearch head score (Gemma)0.017
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 score0.008
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.056
GPT teacher head0.292
Teacher spread0.236 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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Same venueTSpace (University of Toronto)Same topicBullying, Victimization, and AggressionFrench-language works237,207