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Record W2033958722 · doi:10.1177/097133360902100204

Interventions for Childhood Aggression in a Cross-Cultural Context

2009· article· en· W2033958722 on OpenAlex
Alexa Martin‐Storey, Caroline E. Temcheff, Erica K. Martin, Dale M. Stack

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.

Bibliographic record

VenuePsychology and Developing Societies · 2009
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsConcordia University
Fundersnot available
KeywordsAggressionPsychological interventionContext (archaeology)PsychologyDevelopmental psychologyPoison controlEarly childhoodMedicinePsychiatryEnvironmental healthGeography

Abstract

fetched live from OpenAlex

Negative outcomes associated with childhood aggression, including its relation to adult criminality and domestic violence, have led researchers in the developed world to create effective interventions aimed at reducing childhood aggression and minimising its long-term negative outcomes. This article addresses the implications of adapting these interventions in a developing world context by examining issues central to the discussion of these adaptations. These include (a) comparing correlates associated with childhood aggression in the developed world and developing world, (b) addressing some of the challenges in adapting interventions for childhood aggression in a cross-cultural context and (c) presenting general guidelines on designing interventions for childhood aggression that may be helpful to clinicians and community groups within the developing world. The adaptation of interventions for the reduction of childhood aggression may prove useful in areas in which exposure to violence and instability threaten the child’s development.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.065
GPT teacher head0.434
Teacher spread0.369 · 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