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Record W2949992131 · doi:10.7202/1043241ar

Le rêve inachevé d’étudier et de socialiser en français en toute sécurité linguistique : les perspectives d’étudiants franco-ontariens

2017· article· fr· W2949992131 on OpenAlexaffvenueabout
Johanne Jean‐Pierre

Bibliographic record

VenueCanadian Journal of Higher Education · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Suivant une démarche interprétative, cet article examine les perspectives d’étudiants franco-ontariens rapportées lors d’une étude qualitative exploratoire. Des entretiens semi-structurés séquentiels menés en profondeur ont été effectués à Ottawa et à Toronto entre janvier et juin 2014 auprès de 18 étudiants franco-ontariens. Les résultats indiquent que les participants franco-ontariens qui fréquentent des établissements postsecondaires à vocation bilingue souhaitent à la fois une amélioration de l’accès aux études en français et de la qualité de la langue d’instruction ainsi que de meilleures possibilités de socialiser en français. Les participants qui fréquentent des établissements à vocation française ont affirmé être satisfaits de leur expérience d’apprentissage, tandis que ceux inscrits dans des établissements à vocation anglaise ont déploré un sentiment d’isolement linguistique. De plus, le manque d’occasions pour socialiser en français et inclure des réalités franco-ontariennes dans les curriculums, ainsi que les incidents d’intimidation linguistique alimentent l’insécurité linguistique.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient 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 score0.544
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
Bibliometrics0.0010.000
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.306
Teacher spread0.294 · 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

Citations12
Published2017
Admission routes3
Has abstractyes

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