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Record W1501809525 · doi:10.7202/1012406ar

Mondialisation, travail et précarisation : le travail migrant temporaire au coeur de la dynamique de centrifugation de l’emploi vers les marchés périphériques du travail

2012· article· fr· W1501809525 on OpenAlexaffvenue
Yanick Noiseux

Bibliographic record

VenueRecherches sociographiques · 2012
Typearticle
Languagefr
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Trois exemples de programmes gouvernementaux favorisant l’essor du travail migrant en régime dérogatoire sur les marchés périphériques du travail sont ici examinés : 1) les travailleurs agricoles saisonniers migrants embauchés dans le cadre du Programme des travailleurs agricoles saisonniers (PTAS) ; 2) les aides domestiques migrantes embauchées dans le cadre du Programme des aides familiaux résidants (PAFR) ; 3) les travailleurs migrants temporaires dits « non qualifiés » embauchés dans le cadre du Projet pilote relatif aux professions exigeant un niveau réduit de formation. Dans l’après-fordisme, la logique de flexibilisation place le travail migrant temporaire au coeur d’une dynamique de précarisation par la centrifugation de l’emploi vers les marchés périphériques du travail. De plus, on observe l’instrumentalisation de cette main-d’oeuvre au rabais, non seulement exploitée, mais, encore, dans une stratégie d’éclatement d’un régime de travail de type universaliste.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.003
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
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 head0.079
GPT teacher head0.380
Teacher spread0.300 · 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 designObservational
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

Citations18
Published2012
Admission routes2
Has abstractyes

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