Private Practice: Benefits, Barriers and Strategies of Providing Fieldwork Placements
Bibliographic record
Abstract
BACKGROUND: Occupational therapists are entering private practice in ever increasing numbers. In order to gain the skills to practice in this area, students should have the opportunity to experience private practice fieldwork placements. However, the number offered in private practice settings continues to be limited. The purpose of this exploratory qualitative study was to identify the benefits, the barriers, and the strategies associated with providing fieldwork opportunities in private practice. METHODS: Data were obtained through semi-structured interviews with six occupational therapists in private practice. RESULTS: Results indicated that participating in fieldwork education affords benefits to the profession of occupational therapy, to the clinician, and to the facility. Potential barriers included student characteristics, cost, time, travel and legalities. Involvement from the university and the private setting were considered necessary for providing and implementing strategies. CLINICAL IMPLICATIONS: The findings have implications for increasing private practice placements for future students in occupational therapy and other health care professions offering clinical placements as a component of their formal education.
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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 | 0.008 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| 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".