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Record W4210983069 · doi:10.1002/9780470061589.fsa223

Aggression: Gender Differences in

2009· other· en· W4210983069 on OpenAlexaff
Tonia L. Nicholls, Caroline Greaves, Marlene M. Moretti

Bibliographic record

VenueWiley Encyclopedia of Forensic Science · 2009
Typeother
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsSimon Fraser UniversityBC Mental Health & Substance Use ServicesUniversity of British Columbia
FundersFrancis Crick Institute
KeywordsAggressionJuvenile delinquencyPsychologyIntervention (counseling)Domestic violenceDevelopmental psychologyCriminologyClinical psychologyInjury preventionPoison controlPsychiatryMedicineMedical emergency

Abstract

fetched live from OpenAlex

Abstract Increasingly, researchers are turning their attention to the issue of aggression and violence perpetrated by girls and women. This reflects mounting evidence from several related fields of research including: criminal justice, corrections, forensic psychology and psychiatry, domestic violence, child and elder abuse, and delinquency and juvenile justice. Together, this research supports several broad conclusions: (i) the assumption of female nonviolence is untenable; (ii) rates of female‐perpetrated aggression are escalating; (iii) aggression by females often has serious negative implications for victims; and (iv) there is insufficient research of risk and protective factors, developmental trajectories, and clinical programs to prevent and reduce female aggression. In this paper, we report the prevalence and incidence of aggression among females; document sex differences and similarities in aggressive and violent behavior; and examine sex‐specific versus common risk factors. We conclude with clinical implications for prevention and intervention and reflect on gaps in knowledge and directions for future research.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.456
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.309
Teacher spread0.283 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2009
Admission routes1
Has abstractyes

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