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Record W3174194553 · doi:10.7202/1077700ar

Un regard sur la notion de lésion de droits en matière de protection de la jeunesse

2021· article· fr· W3174194553 on OpenAlexaffvenue
Laurence Ricard

Bibliographic record

VenueLes Cahiers de droit · 2021
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La notion de lésion de droits est l’enjeu le plus sensible de la pratique en droit de la protection de la jeunesse. L’alinéa 4 de l’article 91 de la Loi sur la protection de la jeunesse prévoit que, lorsque le tribunal saisi de la situation d’un enfant en vertu de cette loi constate que les droits de ce dernier ont été lésés, il peut ordonner des mesures afin de corriger la situation. Lorsque les droits d’un enfant dont la sécurité ou le développement sont compromis ont possiblement été lésés, la situation éveille les sensibilités de tous les acteurs et appelle à une action diligente. Or, le pouvoir d’intervention du tribunal en la matière est défini de façon laconique dans le texte de loi. Il a fait l’objet d’interprétations inégales dans la jurisprudence sans recevoir un examen particulièrement critique par la doctrine. L’auteure cherche donc à établir les bases d’une compréhension juridique rigoureuse de cette notion, afin d’unifier son interprétation et d’en reconnaître les limites.

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)0.002
metaresearch head score (Gemma)0.004
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: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.046
Scholarly communication0.0080.009
Open science0.0020.005
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0070.001

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 head0.013
GPT teacher head0.308
Teacher spread0.295 · 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
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

Citations1
Published2021
Admission routes2
Has abstractyes

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