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Record W2118993750 · doi:10.1177/1077559507303778

Cognition, Emotion, and Neurobiological Development: Mediating the Relation Between Maltreatment and Aggression

2007· review· en· W2118993750 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.

Bibliographic record

VenueChild Maltreatment · 2007
Typereview
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsWestern University
Fundersnot available
KeywordsAggressionPoison controlPsychologyInjury preventionHuman factors and ergonomicsSuicide preventionCognitionOccupational safety and healthDevelopmental psychologyClinical psychologyMedical emergencyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Child maltreatment has been consistently linked to aggression, yet there have been few attempts to conceptualize precisely how maltreatment influences the development of aggression. This review proposes that biases in cognitive, emotional, and neurobiological development mediate the relation between childhood maltreatment and the development of aggression. In addition, it is posited that physical abuse and neglect may have differential effects on development: Physical abuse may result in hypervigilance to threat and a hostile attributional bias, whereas neglect may result in difficulties with emotion regulation because of a lack of emotional interactions. These processes may be "hardwired" into neural networks via the overactivation of certain brain regions and dysfunctional cognitive processes. The theoretical and necessarily speculative nature of this article is intended to stimulate hypotheses for future research. Only when the adverse effects of maltreatment on brain and cognitive development are understood can scholars hope to develop more effective interventions to alter the developmental pathway to aggression.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.995
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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 head0.070
GPT teacher head0.340
Teacher spread0.270 · 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