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Record W2005714720 · doi:10.3390/ijerph10115470

Linking Childhood and Adult Criminality: Using a Life Course Framework to Examine Childhood Abuse and Neglect, Substance Use and Adult Partner Violence

2013· article· en· W2005714720 on OpenAlexafffundabout
Anita Minh, Flora I. Matheson, Nihaya Daoud, Sarah Hamilton‐Wright, Cheryl Pedersen, Heidi Borenstein, Patricia O’Campo

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsInstitute for Clinical Evaluative SciencesUniversity of British ColumbiaPublic Health OntarioUniversity of TorontoCanada Research ChairsSt. Michael's Hospital
FundersCanadian Institutes of Health Research
KeywordsNeglectLife course approachChildhood abusePsychologySubstance abuseInjury preventionPoison controlSuicide preventionHuman factors and ergonomicsPsychiatryChild abuseOccupational safety and healthDevelopmental psychologyClinical psychologyMedicineMedical emergency

Abstract

fetched live from OpenAlex

Child abuse and neglect, considered criminal acts under the Criminal Code of Canada, play an important role in substance use, violence, and other criminal behaviour in adulthood. We adopted the life course perspective to identify modifiable contextual influences and co-occurring individual, social, and familial determinants associated with adult criminality. Using in-depth interview data, a sub-sample of 13 women who had recently experienced intimate partner violence, recounted their experiences of childhood abuse, their own substance use or criminality, as well as implications of these factors on their children's life trajectories. For the purposes of this paper criminality was defined as child abuse and neglect, domestic violence, illegal substance use and underage alcohol use. Our objective was to explore, in our data: (1) patterns and trajectories of criminality from childhood to adulthood among women who were victims of violence, and (2) cumulative effects of early life exposures on experiences of criminality; with the aim of describing the life course perspective as a useful framework to understand criminality along the life trajectory. The analysis was not designed to demonstrate causal connections between early childhood and adulthood experiences of criminality. Rather we generated qualitative and quantitative hypotheses to guide future research in the field. Implications for research and interventions are discussed.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.236
Threshold uncertainty score0.704

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.078
GPT teacher head0.390
Teacher spread0.312 · 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.

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

Citations34
Published2013
Admission routes3
Has abstractyes

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