Development, Implementation, and Outcomes of an Acute Care Clinician Scientist Clinical Placement: Case Report
Bibliographic record
Abstract
Purpose: This article presents the development, implementation, and outcomes of an innovative clinician scientist (CS) placement for a 2nd-year, entry-level MSc(PT) student at McMaster University. Client Description: All physiotherapy students participating in the third 6-week clinical placement at McMaster University were eligible to apply for one CS placement. A placement description and expectations were developed collaboratively by the clinical site and the MSc(PT) programme before placement matching. Intervention: A shared supervisory model between one acute care physiotherapist and a critical care CS was developed to provide supervision in both clinical and research-related activities during the placement. Measures and Outcomes: The first CS clinical placement in the MSc(PT) Program at McMaster was completed between November and December 2015. The student was evaluated using the same process as a traditional student placement. Over 6 weeks, the student gained clinical experience in an acute care setting; accumulated more than 100 cardiorespiratory hours; participated in research activities for a randomized controlled trial, which led to a submission to Physiotherapy Practice; and applied for the Canadian Institutes of Health Research Health Professional Student Research Award. Implications: The CS is a developing role for Canadian physiotherapists. A CS placement gave the physiotherapy student the opportunity to apply traditional skills and knowledge as well as to develop advanced research skills. The success of this placement has established a foundation for future placements.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".