An Aggregate Fieldwork Model: Cooperative Learning, Research, and Clinical Project Publication Components
Bibliographic record
Abstract
An occupational therapy psychosocial level-two fieldwork model, which consists of cooperative learning, clinical project or research publication, and interdisciplinary collaboration and intervention, is herein outlined. An example of the model is presented using an acute inpatient psychiatric setting with a multidisciplinary staff and 50 occupational therapy interns. Data on the aggregate fieldwork model collected over a two-and-a-half-year period from: 1) logs; 2) supervision; 3) peer reviewed publications; 4) conference presentations; 5) verbal feedback from the occupational therapy educational institutes; and 6) the supervisor's comparisons with other fieldwork models is presented. The outcome of the aggregate fieldwork model is that students do well, seem to learn more than in 1:1 supervisory models, and manage to publish while on fieldwork. It is hoped that more academic programs will consider working with clinical educators to develop programs based on this model.
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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 | 0.015 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".