Bibliographic record
Abstract
Student Run Clinics (SRCs) are an emerging form of primary healthcare involving the collaboration of students and licensed health care professionals. SRCs aim to identify healthcare needs in the community and to meet those needs with supervised clinical and non-clinical services, education, and outreach. The SRC model provides students with direct patient interaction to complement classroom learning and develop extracurricular clinical skills. The Alliance of Students Providing Interprofessional Resources and Education (ASPIRE) is a new interdisciplinary student group from the University of Western Ontario, Fanshawe College, and the University of Waterloo. Using established Canadian SRCs as a framework, ASPIRE is working to start a London-based SRC. A recent review of healthcare needs and social determinants of health completed by ASPIRE for the City of London identified a high incidence of mental health conditions and HIV in the community. Furthermore, the adequate provision of primary healthcare in London is complicated by transportation issues, financial constraints, and language barriers among underserved and minority populations. These concerns may be addressed by care provided by professional students from various disciplines organized by ASPIRE. The future of ASPIRE includes health promotion in the London community with presentations on topics such as opioid addiction and overdose prevention, diabetic foot care, and smoking cessation. ASPIRE will continue to work towards a transition into a larger role in health promotion and health advocacy, with the ultimate goal of establishing an SRC in the City of London.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.011 | 0.013 |
| Insufficient payload (model declined to judge) | 0.016 | 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".