Conversational perspective of therapeutic outcomes: The importance of preference in the development of discourse
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 Major theme : Evaluation of therapeutic outcome. Logical development of the theme : We suggest a way for practitioners and researchers to assess if they are on track in conversing towards client preferred goals. We offer a critique of more conventional approaches to studying therapeutic progress, suggesting how a discursive (i.e. focused on interaction and language use) lens can address these limitations. Through this lens we examine therapeutic progress evident in ‘preference work’, where clients demonstrably indicate, imply, agree and disagree with where the therapeutic conversation is heading. Such ‘preference work’ offers a form of evidence of within‐session outcomes in a process of reaching larger client preferred outcomes. Authors’ point of view : We present the results of conversation analysis – a qualitative approach to the study of therapy – to illustrate our discursive perspective on therapy progress and change. Implications : we suggest a way for practitioners to assess if they are on track in conversing towards client preferred goals. We propose that our interactional perspective may significantly contribute to bridging practice and research in therapy.
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 | 0.005 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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