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Record W2947236149 · doi:10.7202/1059440ar

LA SANCTION PÉNALE D’UNE GRÈVE ILLÉGALE PAR LE TRIBUNAL DU TRAVAIL

2019· article· fr· W2947236149 on OpenAlexvenueaboutno aff
Luc Martineau

Bibliographic record

VenueRevue générale de droit · 2019
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesTribunalPolitical sciencePhilosophyLaw

Abstract

fetched live from OpenAlex

Le recours à la grève déborde parfois le cadre dans lequel le législateur québécois l’a insérée. Illégale, elle rend ses auteurs passibles de sanctions pénales. Le Tribunal du Travail se voit alors octroyer une juridiction pénale souvent incompatible avec sa vocation de dispenseur de « solutions de relations de travail ». Comme le révèle l’étude détaillée de cette juridiction et de sa mise en oeuvre, l’atténuation des amendes au profit de solutions alternatives appropriées, tel le renvoi à un médiateur ou l’ordonnance de « cease and desist », pourrait rendre plus harmonieuses les relations de travail. L’économie générale du Code du Travail en serait enrichie.

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)0.015
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 score0.552
Threshold uncertainty score0.902

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0120.009
Scholarly communication0.0090.002
Open science0.0020.004
Research integrity0.0080.009
Insufficient payload (model declined to judge)0.0210.004

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 head0.018
GPT teacher head0.292
Teacher spread0.274 · 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

Citations0
Published2019
Admission routes2
Has abstractyes

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