Bibliographic record
Abstract
Abstract This study explored the impact of contextualized practice on second language (L2) learners’ production of wh-questions in the L2 classroom. It examined the quality of practice (correct vs. incorrect production) and the contribution of declarative knowledge to proceduralization. Thirty-four university-level English as a foreign language learners first completed a declarative knowledge test. Then, they engaged in various communicative activities over five weeks. Their production of wh-questions was coded for accuracy (absence of errors) and fluency (speech rate, mean length of pauses, and repair phenomena). Improvement was measured as the difference between the first and last practice sessions. The results showed that accuracy, speech rate, and pauses improved but with distinct patterns. Regression models showed that declarative knowledge did not predict accuracy or fluency; however, declarative knowledge assisted the learners to engage in targetlike behaviors at the initial stage of proceduralization. Furthermore, whereas production of accurate wh-questions predicted accuracy improvement, it had no impact on fluency.
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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 | 0.014 | 0.098 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".