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Record W3148464084 · doi:10.7202/1082525ar

L’articulation des niveaux organisationnels lors des interactions des étudiants internationaux : état de la situation dans diverses régions du Québec (Canada)

2020· article· fr· W3148464084 on OpenAlexaffvenueabout
Jorge Frozzini

Bibliographic record

VenueAlterstice Revue internationale de la recherche interculturelle · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Cette introduction au numéro thématique présente l’état des interactions entre les étudiants internationaux (ÉI) et les agents sociaux qui les côtoient dans diverses régions du Québec (Canada) ainsi que dans une localité en Bulgarie. Nous proposons aussi un cadre théorique qui porte sur l’articulation de trois niveaux organisationnels affectant les interactions des ÉI et donc leur resocialisation. Ce cadre porte aussi une attention particulière aux technologies de gestion qui interviennent depuis les premiers moments où les ÉI manifestent leur volonté d’aller étudier ailleurs jusqu’au moment de leur départ ou de leur établissement dans le nouvel environnement. Les rencontres interculturelles dans un contexte où il y a une augmentation de la présence des ÉI sont ainsi influencées par les subtilités de la mise en forme des relations sociales, que favorisent les articulations de ces niveaux organisationnels et la coordination permise par les technologies de gestion en place pour assurer un contrôle et un suivi (surveillance) auprès des ÉI.

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)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.657

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0130.005
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.323
GPT teacher head0.424
Teacher spread0.102 · 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

Citations5
Published2020
Admission routes3
Has abstractyes

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