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Record W3158889137 · doi:10.3138/cmlr-2020-0025

A Critical Interpretive Synthesis of Post-Millennial Canadian French as a Second Language Research across Stakeholders and Programs

2021· article· fr· W3158889137 on OpenAlexaffvenueabout
Mimi Masson, Ibtissem Knouzi, Stéphanie Arnott, Sharon Lapkin

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2021
Typearticle
Languagefr
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of TorontoYork UniversityUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

Utilisant des procédures d'interprétation critique, les auteures passent en revue des études empiriques qualitatives et quantitatives ( N = 181) publiées entre 2000 et 2017 dans le contexte canadien du français langue seconde (FLS), de la maternelle à la 12e année. Elles examinent l'orientation thématique des résultats pertinents pour les principaux intervenants (c'est-à-dire les élèves, les enseignants, les candidats à l'enseignement, les parents et les administrateurs) dans différents programmes de FLS. Leurs observations révèlent que, même si ce n'est pas le cas pour les autres parties prenantes, des programmes de recherche distincts ont émergé chez les élèves et les enseignants (tout particulièrement chez les élèves en immersion française). Cependant, les pratiques de recherche qui regroupent des intervenants de différents programmes indiquent également un transfert potentiel de programmes et la possibilité que soient ainsi abordées des questions primordiales propres au FLS au Canada. L'une de ces questions est le bilinguisme canadien et l'identité bilingue. Malgré un consensus clair dans tous les groupes d'intervenants quant au fait que le FLS est un véhicule pour le bilinguisme, des contradictions et des tensions sont apparues en ce qui a trait aux enjeux de pouvoir inhérents au bilinguisme canadien. Les auteures tirent de leur étude des conclusions thématiques détaillées pour chaque groupe d'intervenants et suggèrent des programmes de recherche futurs.

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)0.080
metaresearch head score (Gemma)0.090
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.920
Threshold uncertainty score0.949

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0800.090
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0240.030
Science and technology studies0.0260.026
Scholarly communication0.0230.007
Open science0.0040.009
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.040
GPT teacher head0.301
Teacher spread0.261 · 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.

Study designQualitative
DomainMethods
GenreReview

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

Citations11
Published2021
Admission routes3
Has abstractyes

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Same venueCanadian Modern Language Review/ La Revue canadienne des langues vivantesSame topicSecond Language Learning and TeachingFrench-language works237,207