L'aspect lexical et le développement du passé composé et de l'imparfait en français L2 : Une étude quantitative auprès d'apprenants hispanophones
Bibliographic record
Abstract
Lexical aspect and L1-L2 differences are often associated with the perfective and prototypical preference that characterises the development of the L2 French past tense among Anglophones. This study examined whether learners of French with the imperfective in their L1 would exhibit this developmental L2 past tense preference. The overall and appropriate uses of the French perfective and imperfective of 44 Hispanophones from four L2 tense-aspect proficiency levels were documented through a cloze task with 23 prototypical and 23 non-prototypical contexts. ANOVAs of the 2254 tokens generated by the participants revealed that, at low L2 proficiency levels, the participants overrode the perfective preference. Prototypical marking remained a preference across L2 proficiency levels, however. This finding reveals that lexical aspect constitutes a shared L2 acquisition challenge for the use of temporal morphology in L2 non-prototypical contexts even among learners who override verb semantics in their L1.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".