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Record W7025063110

Travailleurs (im)migrants au Québec et au Canada : vers le respect administratif de leurs droits et libertés ?

2008· report· fr· W7025063110 on OpenAlexaboutno aff

Bibliographic record

VenueÉrudit documents and data repository (Érudit Consortium, University of Montreal) · 2008
Typereport
Languagefr
FieldComputer Science
TopicTopic Modeling
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101PretextGestational periodLiquationHyporeflexia
DOInot available

Abstract

fetched live from OpenAlex

Au Canada, deux grands cadres administratifs régissent les dizaines de programmes d'intégration de travailleurs étrangers sous permis temporaire de travail : le cadre administratif développé par Citoyenneté et immigration Canada (CIC), avec émission de permis de travail « ouverts » ou « semi-ouverts », et le cadre administratif développé conjointement par Ressources humaines et développement social Canada (RHDSC) et CIC, caractérisé par un processus d'émission de permis de travail « hyperrestrictifs » ou « restrictifs » basée sur le modèle de 1955. Les travailleurs étrangers temporaires admis sous permis de travail CIC « ouverts » ou « semi-ouverts » se voient reconnaître le droit à la mobilité totale ou sectorielle sur l'ensemble du marché du travail canadien. Au contraire, les travailleurs étrangers temporaires admis à travers le cadre RHDCS-CIC (communément nommé Programme des travailleurs étrangers temporaires ou PTET) se verront encore aujourd'hui émettre des permis « hyperrestrictifs » ou « restrictifs » et ainsi retirer le droit à la liberté professionnelle/résidentielle/familiale au Canada : interdiction de changer d'employeur, obligation de dormir chez son employeur, interdiction de tenter l'intégration permanente, interdiction de vivre en famille.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.086
Threshold uncertainty score0.622

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.005
Scholarly communication0.0050.001
Open science0.0010.002
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 head0.048
GPT teacher head0.255
Teacher spread0.208 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2008
Admission routes1
Has abstractyes

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