Politeness in Interlanguage Pragmatics of Complaints by Indonesian Learners of English
Bibliographic record
Abstract
Complaint is intrinsically an abusive act which tends to offend the complainees. In spite of this complainers could consider politeness when they still intend to maintain a good relationship with the complainees. This paper investigated politeness strategies involved in complaints relating to different social status levels and social distances. The data of the complaints were elicited through oral discourse completion tasks from 50 Indonesian learners of English consisting of 25 males and 25 females. The findings indicated that most complaints sounded very direct, particularly those addressed to lower-unfamiliar interlocutors. Four politeness strategies of Brown and Levinson (1987) were employed by the learners. Bald on record and Positive politeness were the most pervasive strategies used across status levels and social distances. Negative politeness was comparatively high, but it was not as high as Bald on record and Positive politeness. Off-record was rarely phrased across status levels and social distances.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".