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Record W7161847219 · doi:10.82308/14842

La nécessité médicale ou la possibilité de la contingence en droit

2024· dissertation· fr· W7161847219 on OpenAlexaboutno aff
Kayley Laura Lata

Bibliographic record

Venuenot available
Typedissertation
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Meaning (existential)Order (exchange)

Abstract

fetched live from OpenAlex

On retrouve, dans les lois et les règlements qui encadrent la couverture des services de santé au Québec et au Canada, différentes déclinations du terme « médicalement nécessaire ». Règle générale, les services dits « médicalement nécessaires » doivent être couverts par les régimes d’assurance santé provinciaux; et ceux qui ne sont pas dits « médicalement nécessaires » ne doivent pas l'être. Ce mémoire s’interroge sur le sens que l’on donne à la nécessité médicale. Le premier chapitre constitue une tentative de trouver le sens de la nécessité médicale à travers les différents matériaux qui encadrent son évaluation – lois, avis d’organisations professionnelles et jurisprudence. Le deuxième chapitre tente de donner un sens au décalage entre le discours du droit sur la couverture des services de santé et la manière dont la couverture des services se décline dans la pratique en articulant la généalogie de la nécessité médicale. Le texte aboutit, dans un dernier chapitre, sur une critique de l’épistémologie du droit qui propose d’entendre la nécessité médicale comme une réification de la raison

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.313
Threshold uncertainty score0.622

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0080.053
Scholarly communication0.0080.006
Open science0.0020.004
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0100.001

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 head0.009
GPT teacher head0.348
Teacher spread0.339 · 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 designTheoretical or conceptual
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

Citations0
Published2024
Admission routes1
Has abstractyes

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