Managing progressivity and solidarity with <i>nage shenme</i> ‘that what’ in Mandarin interaction
Bibliographic record
Abstract
Abstract Nage shenme ‘that what’ is a fixed pronoun phrase commonly used as a “filler” in Mandarin. This study examines the interactional functions of nage shenme s (NSs) in face-to-face Mandarin interaction. An examination of the data shows that NSs appear in a variety of turn positions. This study focuses on the usages of TCU-medial and turn-final NSs. I argue that TCU-medial NSs are used as placeholders to deal with problems of progressivity of the TCU- and action-in-progress. Turn-final NSs in disagreement talk serve as mitigation markers to mitigate the force of discordant actions. They are employed by the speaker to seek reconciliation with coparticipants and to promote social solidarity.
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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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".