COMPREHENSION-BASED PRACTICE
Bibliographic record
Abstract
We report the results of a 2-year longitudinal comparison of grade 3 and grade 4 English-as-a-second-language learners in an experimental, comprehension-based program and those in a regular (i.e., more typical) language learning program. The goal was to examine the extent to which sustained, long-term comprehension practice in both listening and reading—in the virtual absence of any speaking—can help develop learners’ second language (L2) pronunciation. We analyzed learners’ sentences from an elicited imitation task using several accuracy and fluency measures as well as listener ratings of accentedness, comprehensibility, and fluency. We found no differences between the two programs at the end of year 1. However, at the end of year 2, there were some differences—namely, in the listener ratings of fluency and comprehensibility—that favored learners in the regular program. These findings highlight the beneficial effects of comprehension practice for the development of L2 pronunciation but also point to some potential limits of this practice.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".