MétaCan
Menu
Back to cohort
Record W4404779167 · doi:10.3917/jim.012.0069

Le recrutement des étudiants internationaux à la croisée des dynamiques de concurrence : le cas du Québec (Canada)

2024· article· fr· W4404779167 on OpenAlexaboutno aff
Émile Salomon Zambo Assembe, Olivier Bégin-Caouette, Silvia Mirlene Nakano Koga

Bibliographic record

VenueJournal of International Mobility · 2024
Typearticle
Languagefr
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Le recrutement d’étudiants internationaux constitue une forme d’activité internationale qui est mobilisée par les acteurs de l’enseignement supérieur afin de s’adapter ou de répondre aux multiples dynamiques de concurrence internationale. Les stratégies que déploient les acteurs afin de recruter des étudiants internationaux constituent également le reflet du contexte politico-économique des États dans lesquels ils opèrent. L’objectif de cet article est donc d’analyser comment les dynamiques de concurrence internationale interagissent avec les stratégies mobilisées par les différents niveaux de gouvernement en matière de recrutement international. En nous concentrant sur le cas du Québec, une province du Canada, et en analysant les politiques publiques et les statistiques qui concernent les étudiants internationaux, nous constatons que les politiques de l’État canadien articulent le recrutement en réponse aux impératifs du capitalisme universitaire économique, alors que les politiques québécoises articulent le recrutement de différents types d’étudiants internationaux en réponse aux impératifs distincts du capitalisme universitaire économique et symbolique.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.274
Teacher spread0.255 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of International MobilitySame topicSecond Language Learning and TeachingFrench-language works237,207