Building Novel Research Capacity in a Regional Medical Campus Emergency Medicine Program: 1.0 Origins and Partnerships
Bibliographic record
Abstract
The Emergency Medicine Researchers of Niagara (EMRoN) program is an evolving research incubator with the Niagara Regional Campus (NRC) of McMaster University’s Michael G DeGroote School of Medicine and Niagara Health (NH) that is becoming a productive research organization aligned with the strategic priorities of its partner organizations (NRC and NH). EMRoN is committed to advancing local community health care standards and sharing best practices with provincial and national peers. In its first two years of operation EMRoN has achieved success in new structures, processes and outcomes that position it well to be a fulsome research organization for years to come.
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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 | 0.099 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.015 | 0.021 |
| Scholarly communication | 0.041 | 0.028 |
| Open science | 0.007 | 0.056 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.020 | 0.006 |
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".