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The thin line between protection and conviction: Experiences with child protection services and later criminal convictions among a population of adolescents☆

2017· article· en· W2776613429 on OpenAlexaffabout
Marc Alain, Julie Marcotte, Julie Desrosiers, Daniel Turcotte, Denis Lafortune

Bibliographic record

VenueJournal of Adolescence · 2017
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversité de MontréalUniversité LavalUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsConvictionPsychologyCriminal justiceCriminologyCommitPopulationChild abuseChild protectionPoison controlHuman factors and ergonomicsLawMedical emergencyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

Relying on official data provided by the Québec City Youth Center, Canada, we explore the nature and intensity of officially known criminality for all youth (N = 5399) found guilty under the provisions of the Youth Criminal Justice Act between 2003 and 2012 and assess the relationship between criminality and previous episodes of child maltreatment. This article proposes to further verify the general hypothesis stating that there are empirical links between these two phenomena. The results suggest that those youth victims of specific types of child maltreatment (physical abuse, sexual abuse) seem to be found guilty of criminal acts that are significantly in line with these earlier episodes of maltreatment. These results might help to prevent potential occurrences of such a phenomenon and also contributes to the ongoing development of psychological and criminological theories assessing why and to what extent a child victim of maltreatment might later commit criminal offenses.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.618

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.024
GPT teacher head0.280
Teacher spread0.256 · 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

Citations11
Published2017
Admission routes2
Has abstractyes

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