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Record W2134933232 · doi:10.7202/039129ar

Caractéristiques des jeunes contrevenants qui reçoivent des services dans les Centres jeunesse du Québec

2010· article· fr· W2134933232 on OpenAlexaffvenueabout
Jean Toupin, Robert Pauzé, Nadine Lanctôt

Bibliographic record

VenueSanté mentale au Québec · 2010
Typearticle
Languagefr
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsMusée de la CivilisationUniversité de Sherbrooke
Fundersnot available
KeywordsPsychosocialJuvenileVictimisationJuvenile delinquencyPopulationPsychologySexual abuseHumanitiesPsychiatryMedicineDemographyPoison controlSuicide preventionSociologyMedical emergencyArt

Abstract

fetched live from OpenAlex

This study aims at establishing a comparative psychological profile of male and female adolescents at the moment of the application of measures in juvenile centers in Québec (centres jeunesse du Québec, CJQ) as well as their family and social characteristics. The study compares 213 adolescents (12-17 years old) receiving services in CJQ in accordance with the juvenile offenders act (Loi sur les jeunes contrevenants), with 213 adolescents from high schools of impoverished neighbourhoods. Results reveal serious problems of adaptation, external disorders and interiorized disorders and a regular substance abuse among many juvenile offenders. These problems are much more frequent in CJQ than within the juvenile population. The situation of these adolescents is worrisome, given that a high prevalence of depression and sexual victimisation is also observed in females. Finally, families whose adolescent receives services in CJQ have less financial, personal and social resources, as well as more difficulty exercising their parental role compared to parents in the general population. In conclusion, recommendations are proposed concerning psychosocial services necessary for these adolescents and their families.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.186
Threshold uncertainty score0.375

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.286
Teacher spread0.273 · 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 source (direct Gemma or distilled Codex), 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

Citations10
Published2010
Admission routes3
Has abstractyes

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