A Study of Pragmatic Transfer in Suggestion Strategies by Chinese Learners of English
Bibliographic record
Abstract
This study investigates pragmatic transfer in suggestion strategies by Chinese learners of English. The subjects of the study include ten native English speakers, ten Chinese learners of English and ten native Chinese speakers. All of them are university students. The classification of suggestion strategies is mainly based on Hinkel’s study.The data is collected by means of a discourse completion test questionnaire. The Chi-square test is used to compare frequencies of the use of suggestion strategies by the native English group, by the Chinese learner of English group and by the native Chinese group. Results indicate that although all three groups use opting out suggestion strategies the most frequently and direct suggestion strategies the least frequently, the Chinese learner of English group displays direct suggestion strategies and hedged suggestion strategies more frequently than the native English group. Such pragmatic transfer is transferred from Chinese culture and teaching-induced errors respectively, which provides pedagogical implications for both language teachers and language learners. Key words: Interlanguage pragmatics; Pragmatic transfer; Suggestion strategy; Chinese learner of English
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".