MétaCan
Menu
Back to cohort
Record W2041092288 · doi:10.7202/057068ar

La politique québécoise de régionalisation de l'immigration: enjeux et paradoxes

2005· article· fr· W2041092288 on OpenAlexvenueno aff
Myriam Simard

Bibliographic record

VenueRecherches sociographiques · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceCentralisationHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Depuis la fin de la décennie 1980, la régionalisation de l'immigration est devenue une des préoccupations de l'État, celui-ci souhaitant une distribution spatiale plus équilibrée de l'immigration. À partir de l'historique de cette politique et de son évolution (1987-1996), l'auteure amorce une première analyse critique, relevant tant les objectifs sous-jacents que les notions et stratégies centrales. Elle dégage l'interrelation d'enjeux multiples, aussi bien territorial que démographique, politique et économique. Située dans le contexte de mondialisation de l'économie, de restructuration néo-libérale et de crise globale de l'État, l'analyse s'attarde aux notions de décentralisation et de partenariat, centrales dans la politique, afin de saisir le sens de ce nouveau mode de régulation étatique de l'immigration. Certaines ambiguïtés et limites sont soulignées, notamment quant au rôle de l'État dans le développement global des régions, au pouvoir des acteurs locaux et au statut des noyaux régionaux de communautés culturelles.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.349
Threshold uncertainty score0.702

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0070.015
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0020.002
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 head0.118
GPT teacher head0.399
Teacher spread0.281 · 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 designQualitative
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

Citations14
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueRecherches sociographiquesSame topicSocial Sciences and GovernanceFrench-language works237,207