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Record W1489442364

Nouvelles pratiques de travail et taux de demissions : problemes methodologiques et donnees empiriques pour le Canada

2003· article· fr· W1489442364 on OpenAlexaffabout
Julio M. de la Rosa, René Morissette

Bibliographic record

VenueDirection des etudes analytiques : documents de recherche · 2003
Typearticle
Languagefr
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

A l'aide d'un echantillon national representatif d'etablissements, nous avons cherche a determiner si l'adoption de certaines pratiques de travail equivalentes (PTE) a tendance a reduire le taux de demissions. Dans l'ensemble, notre analyse fournit des preuves solides d'une association negative entre l'adoption de certaines PTE et le taux de demissions, pour les etablissements comptant plus de dix employes du secteur des services hautement specialises. Nous degageons aussi certaines preuves d'une association negative pour le secteur des services peu specialises. Cependant, la force de cette association negative diminue considerablement lorsque nous ajoutons un indicateur precisant si l'etablissement a adopte ou non une politique officielle de partage de l'information. Dans le secteur de la fabrication, les preuves d'une association negative sont faibles. Bien que les etablissements ayant des groupes de travail autonomes aient affiche un taux de demissions plus faible que les autres, aucun ensemble de pratiques de travail etudie n'a d'effet negatif et statistiquement significatif sur ce taux. Nous emettons l'hypothese que les PTE cles peuvent reduire davantage le roulement de la main-d'oeuvre dans des environnements techniquement complexes que dans des environnements requerant peu de competences.

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)0.027
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.256
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0270.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.274
GPT teacher head0.510
Teacher spread0.236 · 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; both teacher heads agree on what is shown here.

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
Published2003
Admission routes2
Has abstractyes

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Same venueDirection des etudes analytiques : documents de rechercheSame topicEmployment and Welfare StudiesFrench-language works237,207