Foot Health During The COVID-19 Crisis: An Audit Of A Partnership Between Primary Care Physicians And A University Podiatric Medicine Clinic In Canada
Bibliographic record
Abstract
This is an audit of a partnership formed between the university podiatry clinic located in Trois-Rivières, Québec, Canada and regional primary care physicians’ groups affiliated with the Centre de santé et de services sociaux de la Mauricie-et-Centre-du-Québec (Québec, Canada), in the months following the beginning of the COVID-19 crisis. Podiatric medicine is not generally part of the public health system in Québec. However, the data from this audit enabled the creation of an initial overview of this partnership, including a referral form and the approach used to reach specific indicators.This provided insight into foot health needs in primary care to maximize students’ training, foot health and limb preservation. Indeed, our data shows that we have partially achieved our objectives and that we need to improve our audit practices and data while charting a better course for the future.
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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 | 0.000 |
| 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".