Bibliographic record
Abstract
Dr Ken Milne is an emergency department physician, Chief of Emergency and Chief of Staff at South Huron Hospital Association in Exeter, Ontario. He has been an advocate for advancing the practice of rural medicine throughout his career. Originally from a farm just outside of London, Dr Milne completed both his undergraduate and graduate degrees at Western University before attending medical school in Calgary. He returned to Western in 1997 for family medicine training and began his medical career in Goderich, where he currently resides with his wife and 3 children. In addition to being a clinician, Dr Milne has been conducting research on rural medicine for the last 17 years and helped establish what is now Discovery Week, an integral part of the Schulich School of Medicine’s first-year curriculum. He is also the creator of the knowledge translation project “The Skeptic’s Guide to Emergency Medicine” (SGEM), which disseminates evidence-based information online so patients can receive the best care. We met with Dr Milne over Google Hangouts to talk about his colourful career, the unique aspects of rural medicine and the challenges he faces working in a remote location.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.015 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.009 | 0.017 |
| Insufficient payload (model declined to judge) | 0.030 | 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".