Immigrants outperform Canadian-born groups in French immersion: examining factors that influence their achievement
Bibliographic record
Abstract
This paper examines the French achievement results of three groups of students: Canadian-born English/French bilingual, Canadian-born multilingual and immigrant multilingual Grade 6 French immersion students, by investigating how the variables of integrative and instrumental motivations, attitudes to the learning situation, French language anxiety, motivation to learn French and oral, receptive and written willingness to communicate affect their achievement in French. Different from research with immigrant communities learning a minority language outside of Canada, this research corroborates other Canadian research where the immigrant group outperforms the Canadian-born groups in French achievement. Subsequent ANOVAs and post-hoc tests on questionnaire data showed the multilingual immigrant group to have higher integrative and instrumental motivations and were more willing to speak in French. Of these variables, integrative motivation, willingness to communicate (reading and writing) and attitude to the learning situation predicted the test results. Memberships in the Canadian-born groups were associated with negative results.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".