Effects of Negotiated Interaction on Mongolian-nationality EFL Learners’ Spoken Output
Bibliographic record
Abstract
The present study examines the effect of negotiated interaction on Mongolian-nationality EFL learners’ spoken production, focusing on the teacher-learner interaction in a story-telling task. The study supports the hypothesis that interaction plays a facilitating role in language development for learners. Quantitative analysis shows that Mongolian learners gained significant improvement on language accuracy and fluency. The interaction offered occasions for phonological, syntactical as well as semantic language development for individual learners. However, how far these occasions may serve as a facilitating tool for language development depended on the learners’ response in the interaction and their uptake in subsequent language production. The analysis also shows that Mongolian learners drew their attention to meaning prior to language forms in dealing with input and output. Their performance was not so much determined by their present language proficiency level, but rather by their L1 background (Mongolian), L2 (Chinese) and negotiation types they engaged in.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".