A Developmental Study of Pragmatic Strategies of Refusals by Chinese English Majors
Bibliographic record
Abstract
This study investigates the pragmatic development of the refusal strategies to the four different stimulus types (1 request, 1 suggestion, 1 invitation, and 1 offer) by Chinese English major students with low-intermediate language proficiency. The data was collected through written discourse completion tasks, and coded based on the modified taxonomy by Beebe et al. (1990). Refusal strategies were analyzed in terms of frequency and contents of the semantic formulas. The results suggested on the whole a downward pattern was observed but statistically there was no significant development towards the learners’ refusal strategies (directness, indirectness and adjuncts). The findings also revealed that the Chinese English major students relied heavily on the indirectness and adjuncts to realize their refusals. Learners’ data displayed the tendency of being verbose and were also found with ungrammatical forms.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".