<i>Solution-Focused Counselling</i>In Canadian Outpatient Dietetic Practice
Bibliographic record
Abstract
PURPOSE: The use of solution-focused counselling (SFC) in dietetics was examined to determine the demand for an SFC teaching tool for registered dietitians. METHODS: A cross-sectional web-based survey was conducted within the Dietitians of Canada cardiology, eating disorders, and consulting networks, with dietitians who practised in an outpatient setting. Dietitians were surveyed on the seven core components of SFC. RESULTS: Responses (n=58) were received from dietitians practising in seven provinces, who tended to be younger (mean age=44) and who had practised for a mean of 15 years. The entire sample reported use of at least four of the seven core components of SFC. All respondents were interested in receiving a counselling teaching tool for dietitians. CONCLUSIONS: All respondents were using components of SFC in their outpatient practices. The efficaciousness of SFC in dietetic practice has yet to be determined.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".