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Record W2625091605

Pluralité des ordres juridiques: protection en emploi des salariés visés par une diminution d'effectifs.

2017· article· fr· W2625091605 on OpenAlexaboutno aff
Virginie Martel-Charest

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

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?

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.888
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0010.007
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.039
GPT teacher head0.301
Teacher spread0.262 · 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 teacher head, not a consensus.

Study designOther design
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
Published2017
Admission routes1
Has abstractyes

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Same topicDigital Economy and Work TransformationFrench-language works237,207