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Record W2910018178 · doi:10.1002/imhj.21760

Sex differences in the development of physical aggression: An intergenerational perspective and implications for preventive interventions

2019· review· en· W2910018178 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInfant Mental Health Journal · 2019
Typereview
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health Research
KeywordsAggressionBiopsychosocial modelPerspective (graphical)Developmental psychologyPsychologyPsychological interventionOffspringSpouseMechanism (biology)PsychiatryBiology

Abstract

fetched live from OpenAlex

This article reviews the state of knowledge on the development of chronic physical aggression (CPA), with the aim of identifying the most effective prevention strategies. We specifically focus on the early development of physical aggression, on sex differences in the use of physical aggression, and on the transmission of behavior problems from one generation to the other. The body of research on the development of CPA from the past three decades that we review shows increasing evidence that its prevention requires a long-term biopsychosocial developmental approach which also must include an intergenerational perspective. Recent genetic and epigenetic research has indicated that there are both important genetic and environmental effects on gene expression which start at conception. We conclude that one of the most effective strategies to break the intergenerational transmission of CPA involves giving long-term support to pregnant women with a history of behavior problems, their spouse, and their offspring.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.853
Threshold uncertainty score0.679

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.189
GPT teacher head0.521
Teacher spread0.332 · 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