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Record W4302307221 · doi:10.1522/revueot.v31n2.1483

Besoins et présence des travailleuses et travailleurs migrants temporaires dans les régions du Québec : quelques éléments de description

2022· article· fr· W4302307221 on OpenAlexaffvenueabout
Jorge Frozzini, Éric Tremblay, Vincent Arnaud

Bibliographic record

VenueRevue Organisations & territoires · 2022
Typearticle
Languagefr
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

En raison de la pénurie de main-d’oeuvre, les employeurs et les associations d’employeurs cherchent à recruter un plus grand nombre de travailleuses et travailleurs migrants temporaires (TMT) dans différents secteurs d’activité au Québec. Cette demande destinée à pourvoir de nombreux emplois n’est pas nouvelle. Toutefois, les divers programmes, les besoins exprimés par les employeurs et les enjeux vécus par les TMT demeurent largement méconnus du grand public. Cette contribution propose une présentation du Programme des travailleurs étrangers temporaires (PTET) et de ses divers volets, un survol des besoins en main-d’oeuvre exprimés par les employeurs ainsi qu’une discussion à propos de la précarité des TMT. Finalement, le texte avance quelques critiques à propos des conditions socioéconomiques et sociojuridiques des TMT au Canada.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0060.003
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.056
GPT teacher head0.326
Teacher spread0.269 · 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

Citations2
Published2022
Admission routes3
Has abstractyes

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