MétaCan
Menu
Back to cohort

Le paradigme de la mobilité propose-t-il une perspective adéquate de l’immigration internationale ?

2015· article· fr· W593812995 on OpenAlexaffvenue
Micheline Labelle

Bibliographic record

VenueÉthique Publique · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsUniversité du Québec à MontréalInternational Political Science AssociationCanadian Nuclear Safety Commission
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Dans l’opinion publique, la mondialisation a ouvert les vannes de l’immigration internationale, les migrants circulant désormais aussi facilement que les capitaux et les marchandises. En phase avec cette représentation relevant du sens commun, le domaine de la migration internationale tend à subir l’influence des théories de la mobilité qui jouissent d’un véritable effet de mode. Cette pensée emprunte à des courants d’idées privilégiant l’effacement des frontières. Le concept de « mobilité » repose sur deux visions contradictoires. La première suppose que les populations se déplacent à travers les frontières pour vendre et négocier leurs « capital social » (éducation, formation professionnelle, expérience de travail), là où les avantages économiques et sociaux sont les plus grands. La seconde considère que les obstacles à la mobilité sont la cause de nouvelles inégalités et de nouvelles hiérarchies dans le système mondial. Critiques de ces visions, certains spécialistes de l’immigration internationale estiment que les facteurs historico-structurels à l’œuvre dans les pays d’émigration et d’immigration ont une plus grande pertinence explicative que le recours à la question de la circulation.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0050.022
Scholarly communication0.0080.011
Open science0.0020.005
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0090.002

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 head0.060
GPT teacher head0.370
Teacher spread0.310 · 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 designTheoretical or conceptual
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

Citations8
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueÉthique PubliqueSame topicMulticulturalism, Politics, Migration, GenderFrench-language works237,207