Doing More than Confirming: Expanded Responses to Requests for Confirmation in German Talk-in-Interaction
Bibliographic record
Abstract
Abstract While requests for confirmation (RfCs) make a yes/no-response relevant, recipients often produce more than a mere confirmation. Our paper explores expanded responses to RfCs in German talk-in-interaction. We focus on responses consisting of a confirmation and an additional TCU/action. Drawing on video data from mundane and institutional settings, we demonstrate how expanded responses are designed and fit the sequential environments in which they occur. We show four different functions fulfilled with expanded responses: (i) specifying and elaborating on the topic introduced in the RfC, (ii) accounting for the intelligibility of the speaker’s prior actions, (iii) resisting the terms of the RfC, and (iv) challenging a RfC by referring to the recipient’s pre-existing knowledge. Finally, we summarize interactional features relevant for the occurrence of expanded responses in our data. In addition, we discuss the implications of our results for future cross-linguistic research.
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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 | 0.007 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".