Novice teachers’ perspectives on the use of languages in French as a second language classes that include English language learners: A longitudinal view
Bibliographic record
Abstract
In the Canadian context, although most considerations of the home-target language use divide are centred on the presence of English in French Second Language (FSL) programs, the increasing number of immigrants has provided impetus to extend the discussion to include the use of languages beyond Canada’s official languages. With the use of questionnaires with novice teachers pre and post Bachelor of Education programs and interviews for three years hence, this study sought to explore novice teachers’ perspectives on the use of languages in the FSL classes that include English language learners (ELL). Novice teachers remained consistent in identifying the need to maximize French use, minimize English use, and include languages from students’ language repertoires as useful means to support the FSL acquisition of ELLs. In addition, the novice teacher participants revealed a preference for ELLs to be included in core French as opposed to immersion programming.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".