A Longitudinal Case Study on A Chinese Returnee’s L2-attrition in the Aspect of Oral Fluency
Bibliographic record
Abstract
This study investigated an L1-Mandarin returnee’s attritional performance in the aspect oral fluency in L2-English speaking. The participant went to Ottawa when she was 2 years old, and stayed there till she was 5 years old. A 12-month longitudinal study was carried out to examine her oral fluency of L2-English speaking. The results suggest that the participant suffered from significant attrition in oral fluency at the end of the 3rd month since she left Ottawa. Further attrition was observed with the increase of time that she returned to China. However, at the 6th month, after staying in Canada for a 20-day summer camp, the participant’s oral fluency displayed some improvement. After that, however, the participant’s oral fluency was observed to suffer from more severe attrition. The duration of time that she returned to China correlated significantly and negatively with her proficiency level of oral fluency.
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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 | 0.005 | 0.002 |
| 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 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".