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Record W1907685950 · doi:10.7202/1028376ar

La quête de reconnaissance professionnelle d’immigrants favorisant l’usage de l’anglais dans la région de montréal : entre dissonances et ressemblances

2015· article· fr· W1907685950 on OpenAlexaffvenueabout
Sébastien Arcand, Maher Najari

Bibliographic record

VenueRecherches sociographiques · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsHumanitiesImmigrationPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Bien que la problématique de la reconnaissance des diplômes et des compétences des immigrants soit documentée dans la littérature, les immigrants faisant usage de l’anglais constituent une catégorie trop souvent oubliée. À partir de groupes de discussion menés auprès de ces immigrants, cet article soulève quelques-unes des difficultés auxquelles ces personnes sont confrontées dans leur quête de reconnaissance de leurs acquis et compétences. Les résultats montrent notamment qu’en dépit des similarités vécues avec les immigrants faisant usage du français, la faiblesse de la connaissance du français de notre échantillon favorise une connaissance inégale des programmes offerts et, par le fait même, génère l’existence d’obstacles propres à cette catégorie d’immigrants. L’analyse des témoignages des participants fait également ressortir des failles dans la coordination entre les institutions québécoises impliquées.

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)0.010
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.380
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.168
GPT teacher head0.457
Teacher spread0.289 · 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 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

Citations3
Published2015
Admission routes3
Has abstractyes

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