EDITORIAL From the Editor’s Desk: Frontiers in medicine: the McGill Journal of
Bibliographic record
Abstract
Medicine celebrates ten years, and insights into interventional medicine This issue of the McGill Journal of Medicine marks something of an anniversary for the Journal, and before commenting on the articles in this issue, we thought this a fitting time for reflection on the state of the MJM. Though we chart our recent history through a period of beginning, ending, and beginning and ending again, we have embarked with conviction on the course which was once set for the Journal. The involvement of students from around the world during the past ten years – we estimate the participation of over five hundred students in the MJM since its re-establishment in the 1990s – has made this international effort possible. The MJM provides exposure for young
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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 | 0.008 | 0.053 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.015 | 0.022 |
| Insufficient payload (model declined to judge) | 0.012 | 0.010 |
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".