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Record W2107369052 · doi:10.7202/017799ar

Un défi de taille pour les centres jeunesse. Intervenir auprès des parents ayant un trouble de personnalité limite

2008· article· fr· W2107369052 on OpenAlexaffvenueabout
Lise Laporte

Bibliographic record

VenueSanté mentale au Québec · 2008
Typearticle
Languagefr
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsCentre Jeunesse de Quebec
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

An exploratory survey of 68 youth protection services' workers in Montréal, who followed 1,030 children reveals that 39 % of these children have at least one parent who suffer from mental health problems. Among these parents, 48 % of mothers and 30 % of fathers have a personality disorder, and for the majority, a borderline personality disorder. This mental health problem is preoccupying for youth protection workers because of its high prevalence, its impact on children and case workers and the difficulties brought forth by having to intervene in a context of authority and within an organization not adapted to the management of this mental health problem. Some intervention's guidelines to work with these parents are presented as well as some challenges and future perspectives.

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)0.006
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.486
Threshold uncertainty score0.979

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0040.002
Open science0.0020.003
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0080.001

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 head0.038
GPT teacher head0.310
Teacher spread0.272 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2008
Admission routes3
Has abstractyes

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