Pluralité des ordres juridiques: protection en emploi des salariés visés par une diminution d'effectifs.
Bibliographic record
Abstract
Au Quebec, comme partout ailleurs, le travail a subi des transformations au fil du temps. Ce dernier ne cesse de se transformer et de s'adapter aux differents changements de la realite. D'ailleurs, la realite des entreprises influence la structure du travail. Par exemple, la mondialisation de l'economie a oblige plusieurs entreprises a se restructurer, entrainant des pertes d'emplois. Cette recherche s'interesse a la protection en emploi des salaries suites a une restructuration d'entreprise, en fonction des differentes sources de droits. Il importe ici de preciser que l’Etat n’est pas la seule source de droit en matiere de travail. Au Quebec, le droit de l’Etat coexiste avec d'autres ordres juridiques, tel que l'autonomie collective. Celle-ci donne le droit aux parties de negocier leurs conditions de travail par le biais d'une convention collective. Certaines d'entre elles contiennent des clauses portant sur les diminutions d'effectifs, ce qui pourrait contribuer a la protection des travailleurs. A la lumiere de ces informations, notre travail de recherche portera sur la question suivante: la pluralite des ordres juridiques permet-elle une protection en emploi suffisante aux salaries vises par une diminution d'effectifs dans un contexte de restructuration?
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".