Role-Emerging Clinical Placements in a Community-Based HIV Organization – Opportunities for Interprofessional Collaboration: A Case Report
Bibliographic record
Abstract
Purpose: We describe the development, implementation, and outcomes of role-emerging (RE) clinical placements at Positive Living Niagara (PLN), a community-based HIV organization (CBHIVO), for two second-year, entry-level Master of Science (Physiotherapy) (MSc[PT]) students from McMaster University. Client Description: A national, not-for-profit organization , Realize, conducted outreach to identify CBHIVOs interested in developing physiotherapy (PT) student placements. Intervention: PLN responded to the outreach and worked with McMaster’s MSc(PT) programme and Realize to establish two part-time RE PT student placements. The placement description and expectations were developed collaboratively by PLN, Realize, and the MSc(PT) programme. All PT students participating in their third 6-week clinical placement were eligible to apply. A registered occupational therapist and physiotherapist and PLN’s programme services manager participated in a shared model to supervise the students’ clinical and administrative activities. Measures and Outcome: These first RE PT placements in a Canadian CBHIVO were completed between November and December 2016. The evaluation of the student and placement included a learning contract and the Canadian Physiotherapy Assessment of Clinical Performance. Over 6 weeks, the students collaborated with people living with HIV (PLWHIV) who were members of PLN to identify a role for physiotherapists at PLN and led two health promotion workshops for PLN’s members and staff. Implications: The RE PT placement identified future opportunities for physiotherapists at PLN. The experience also influenced one student’s decision to apply after graduation for a newly created PT position that included working with PLWHIV.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".