Role-play and dialogic meta-pragmatics in developing and assessing pragmatic competence
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Role-play as a bridging and integrating practice in language teaching and development of pragmatic competence in learners is well-established. In an EAP classroom ( Van Dyke & Acton, 2021 ) explored the impact of one fluency protocol, Cooperative Attending Skills Training, by which students were trained to listen attentively to shared personal stories, working toward more sophisticated strategies of conversational interaction. That system included dialogic, pragmatics-focused, spontaneous analysis and instructor-student discussion of interactional discourse features. With that experience, further modeling and conceptual input, participants in this study engaged in six role-plays, each involving a problem requiring pragmatic accommodation. The data from transcribed role-plays were analyzed in terms of pragmatic discourse functions and NVivo-based thematic threads. The generally successful application of the targeted skills and concepts by course end most likely resulted from the engaging meta-pragmatic interactions preceding the role-plays, and the formal and informal instructor feedback related to implicature, prosody, implicit understandings, direct conversation strategies, grammar, and vocabulary.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it