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Record W2339664953 · doi:10.7202/1035675ar

L’abandon d’enfants : du Québec à la France en passant par l’Ontario

2016· article· fr· W2339664953 on OpenAlexvenueaboutno aff
Marie-Noëlle. Pourbaix

Bibliographic record

VenueRevue générale de droit · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhysicsPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Ce travail porte sur la question de l’abandon d’enfants analysée sous l’angle du droit comparé. Nous avons tenté d’y mettre en relief les différentes interprétations entourant la notion juridique d’abandon et les composantes des systèmes québécois, ontarien et français relativement aux mesures existant pour protéger l’enfant abandonné. Nous avons examiné principalement trois contextes juridiques différents : les lois sur la protection de l’enfant, l’autorité parentale et les déclarations d’abandon. Nous avons voulu mettre en lumière, entre autres, les mécanismes d’intervention en milieu familial en comparant les lois particulières du Canada au système d’assistance éducative de la France. Nous nous sommes aussi attardée à la déchéance de l’autorité parentale comme moyen supplémentaire de protéger l’enfant. Finalement, nous avons étudié le contexte des mesures permettant de rendre adoptable un enfant abandonné. Cette analyse nous a démontré qu’en cette matière, l’État québécois préconise un système hybride, c’est-à-dire un système alliant des interprétations et des mécanismes clairement inspirés de la common law à d’autres, purement civilistes.

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: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.975

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0230.009
Scholarly communication0.0050.002
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.000

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 head0.008
GPT teacher head0.219
Teacher spread0.212 · 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
Published2016
Admission routes2
Has abstractyes

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