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Record W2970502096

Être étudiant d’origine étrangère en région au Québec

2018· article· fr· W2970502096 on OpenAlexaboutno aff
Véronique Gagnon

Bibliographic record

VenueCairn.info · 2018
Typearticle
Languagefr
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceGeographyGeology
DOInot available

Abstract

fetched live from OpenAlex

Au regard de diverses politiques canadiennes et québécoises visant à tirer profit de l’immigration, la recherche au cœur du présent article s’intéresse à des migrants d’origine étrangère ayant comme projet celui de suivre une formation collégiale technique dans une région éloignée de la métropole québécoise. La prémisse de départ veut qu’au‑delà des forces et contraintes extérieures, le parcours de chaque individu soit essentiellement unique et singulier. Cette étude effectuée dans le cadre d’un mémoire de maitrise cherche ainsi à saisir les logiques et processus sous-jacents de la mobilité étudiante par l’appréhension du vécu des personnes impliquées. Grâce à la conduite d’entretiens semi-directifs auprès d’étudiants d’origine étrangère de l’Institut maritime du Québec à Rimouski, cette recherche pose un regard sur le parcours migratoire et l’expérience transculturelle vécue en région en plus de soulever des pistes de réflexion concernant l’adéquation entre les logiques politiques et celles des individus.

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)0.004
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: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0080.002
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0280.003

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 head0.012
GPT teacher head0.237
Teacher spread0.225 · 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

Citations2
Published2018
Admission routes1
Has abstractno

Explore more

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