Perceptions of and Attitudes toward French L2 Learning Opportunities On- and Off-campus Among Students not Specializing in French at Glendon
Bibliographic record
Abstract
Being one of the first student-initiated research projects about learning French as a second language at Glendon College, the present paper aims to examine Glendon students’ perceptions of and attitudes towards French L2 learning opportunities on- and off-campus. Students voluntarily participated in surveys through random selection about how they felt regarding learning French as a second language at Glendon and whether they used language learning resources inside and outside of the school environment. Key Glendon faculty members were interviewed about the FRSL program and other learning opportunities. The data collected was analyzed and used to make connections about how effectively students used language learning spaces available to them in order to become successful French language learners. Suggestions intended to aid successful French language learning were derived from the correlations made based on both quantitative and qualitative results. In general, students surveyed had false perceptions which led to negative attitudes towards learning French as a second language which influenced successful language learning.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".