Evolution of Self-Repair Behaviour in Narration Among Adult Learners of French as a Second Language
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Self-repairs, or revisions of speech that speakers themselves initiate and complete (Salonen & Laakso, 2009), have long been associated with second language (L2) development (e.g., Kormos, 2000a). To our knowledge, however, no research has looked at the evolution of self-repair correctness patterns, that is, the correctness of elements targeted for repair and the correctness of the repair outcomes. Consequently, the present study sought to investigate changes in the self-repair behaviour of English-speaking L2 learners of French over the course of a 5-week period and to verify whether any changes occurred over time. Speech samples of the L2 were collected from 50 adult participants through an elicited narration task at the beginning (Time 1) and the end (Time 2) of a 5-week immersion program. Overall, the results showed that there were qualitative and quantitative changes in self-repairs types, and that correctness of the element being repaired increased significantly over time.
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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 | 0.000 |
| 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 it