Paramedics Connecting Through Applied Research (Paramedics CARe) Conference Canada 2021
Bibliographic record
Abstract
The Justice Institute of British Columbia convened its first annual Paramedics Connecting Through Applied Research (Paramedics CARe) between May 27 2021 and June 11 2021 over four morning sessions held online. The conference was co-sponsored by the CSA Group, the Justice Institute of British Columbia, and the University of Waterloo through a Connections grant from the Social Sciences and Humanities Research Council of Canada. The aim of the Paramedics CARe is to mobilise knowledge on the latest research in Canadian paramedicine and foster intersectoral and interdisciplinary collaboration between academic researchers, educators, provincial and municipal governments, private small and medium enterprises (SMEs) that support paramedic practice, and the public through patient advocacy groups. In this Conference Report, the authors share some featured presentations, discuss lessons learned and visions for the future of paramedicine.
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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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.003 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.052 | 0.008 |
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".