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Record W2274310953 · doi:10.1075/jicb.3.2.03gib

Canadian Parents for French

2015· article· en· W2274310953 on OpenAlexaffabout
Judy Gibson, Sylvie Roy

Bibliographic record

VenueJournal of Immersion and Content-Based Language Education · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of CalgaryCanadian Armed Forces
Fundersnot available
KeywordsGrassrootsFrench immersionFrenchNeuroscience of multilingualismPolitical scienceContext (archaeology)InstitutionalismSecond languageAssociation (psychology)SociologyPublic relationsLinguisticsPedagogyPsychologyHistoryLaw

Abstract

fetched live from OpenAlex

This article describes the efforts undertaken by a grassroots, non-profit association established to promote French-second-language learning in Canada, and how those efforts have contributed to the advancement of Canada’s official languages policy. After identifying the historical context in which the immersion approach to second language instruction was developed, we use a historical institutionalism theory with an archival research method to examine texts produced by Canadian Parents for French over the past 38 years to see how the organization has contributed to the growth of English-French bilingualism within Canada. We then note the continuing challenges to universal access to French immersion programs which the association has identified. This article demonstrates that stakeholders can play an important role in the successful implementation of a policy and offers examples that may be relevant for international audiences seeking to promote language learning.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.064
Threshold uncertainty score0.228

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0180.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0640.005

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 head0.052
GPT teacher head0.270
Teacher spread0.218 · 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 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

Citations9
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Immersion and Content-Based Language EducationSame topicSecond Language Learning and TeachingFrench-language works237,207