From Grade School to University: The Variable Use of <i>on/nous</i> by University FSL Students
Bibliographic record
Abstract
This study examines factors correlated with the use of nous and on by university students formerly enrolled in French immersion programs. Their variant frequency and stylistic appropriateness are compared to those of (1) former core French university students; (2) French as a second language (FSL) speakers in a francophone environment; and (3) native speakers of French. The study also explores whether the former immersion students' use is closer to native norms than is that of high school immersion students and, if so, what factors trigger such a change from high school to university. The findings show that the former immersion students use on more frequently than do high school immersion and former core French learners. Furthermore, among the former immersion students, those with early exposure to and prolonged institutional contact with French and those who use French frequently tend to use on and nous in ways approaching use by FSL speakers in a francophone environment and native speakers of French.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".