MétaCan
Menu
← Back to cohort
Record W7132905644

Le rapport à l'identité chez les jeunes des écoles francophones de l'Ontario

2014· dissertation· W7132905644 on OpenAlexaffabout
Annie Bellemare

Bibliographic record

VenueTSpace · 2014
Typedissertation
Language
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFrenchContext (archaeology)Identity (music)Cultural environmentImmigration
DOInot available

Abstract

fetched live from OpenAlex

En Ontario, l'école de langue française joue un rôle significatif dans le développement du rapport à l'identité francophone chez les jeunes, en raison du contexte minoritaire. À leur sortie de l'école, ces jeunes sont exposés à une langue et une culture différentes; leur réseau social, et même familial, évolue dans un environnement autre que leur contexte éducationnel. Ce texte vise à poser un regard critique sur la notion d'identité telle que définie dans les documents officiels afin d'examiner si cette forme correspond réellement au contexte franco-ontarien actuel, compte tenu que la clientèle de l'école de langue française est beaucoup plus diversifiée qu'auparavant. Les résultats de mon analyse suggèrent qu'au lieu de promouvoir le développement personnel et social propre à une seule culture et une langue d'enseignement, le système scolaire devrait plutôt permettre aux élèves de s'associer à la culture et la langue d'enseignement sans toutefois nier leurs origines ou leur sentiment d'appartenance à la culture dominante.

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 score0.051
Threshold uncertainty score0.372

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0190.005
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.032
GPT teacher head0.316
Teacher spread0.284 · 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

Citations0
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueTSpace→Same topicCanadian Identity and History→French-language works237,207→