Some interactional uses of syntactically incomplete turns in Mandarin conversation
Bibliographic record
Abstract
In everyday conversation, sometimes a speaker may not complete his/her turn, and the recipients do not treat it as problematic. This paper investigates this type of syntactically incomplete turns (henceforth, SITs) in Mandarin conversation. Specifically, this study examines how SITs are used and constructed through multimodal resources in Mandarin face-to-face conversation. Adopting the methodology of conversation analysis, interactional linguistics, and multimodal analysis, the present study examines 8 hours of everyday Mandarin face-to-face conversation. It shows that the SITs are situated in particular sequential environments and triggered by local contingencies. For example, they are used to accomplish socially and interactionally inappropriate actions and display sensitivity to the recipients’ disengagement from the ongoing talk and the current participation framework. Also, despite the syntactic incompleteness of the SITs, the prosodic and bodily-visual features involved in their production usually indicate possible turn completion.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".