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Record W2895883975 · doi:10.1075/jicb.17008.arn

The Common European Framework of Reference (CEFR) in French immersion teacher education

2018· article· en· W2895883975 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Immersion and Content-Based Language Education · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPortfolioRemedial educationSecond languagePedagogyAdaptation (eye)Mathematics educationDivergence (linguistics)PsychologyLinguisticsBusiness

Abstract

fetched live from OpenAlex

Abstract Over 11% of Canadian students are currently enrolled in French immersion (FI) – a program where French is a subject of study and is the language of instruction in at least two content areas. Research shows that stakeholders in FI initial teacher education (ITE) programs identify French language proficiency development as an area of high priority; however, Canadian ITE programs do not typically provide linguistic support. This article reports on an adaptation and implementation of the Common European Framework of Reference (CEFR) (specifically, the European Language Portfolio [ELP]) as part of a remedial 24-week French writing course in an FSL ITE program focused on developing French proficiency. Student-teachers ( n = 25) and the course instructor identified strengths and challenges associated with this initiative via surveys and interviews. Findings show participant convergence and divergence on the portfolio experience, raising implications for decision-making related to its use in ITE programs targeting FI teachers.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.950
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.291
Teacher spread0.260 · 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