The Student Perspective on Role-Emerging Fieldwork Placements in Occupational Therapy: A Review of the Literature
Bibliographic record
Abstract
Role-emerging fieldwork placements are increasingly being used in entry-level occupational therapy programs. However, published reviews have yet to focus on synthesizing the experiences and perspectives of students. This review aims to identify the opportunities, challenges, and future directions of role-emerging fieldwork placements based on the student perspective. A literature review using scoping review methods was conducted, including an electronic database search, hand-searching of journals, and citation tracking. Descriptive and thematic analyses of the articles were performed. Thirty articles were identified through the literature search. Themes that emerged related to opportunities were professional and personal development, independence and autonomy, client-centeredness, and new occupational therapy perspective. Themes that emerged related to challenges were defining a professional role, lack of structure and support, and high level of responsibility. Future directions centered on recommendations for future students and establishing roles within sites. Students benefited from the self-directed nature and client-centered practice in their role-emerging fieldwork placements, while the challenging environment contributed to their overall development. Students recognized a need for occupational therapy services in the wider community and saw role-emerging settings as legitimate career opportunities. Future research is encouraged to explore peer models, student-initiated role-emerging fieldwork placements, and postgraduate experiences.
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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 | 0.006 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".