Bibliographic record
Abstract
Every 3 weeks, Dr. Daniel Kraus hops on a plane at 7 am and flies 531 km to see patients with chronic mental illness in the Northern Quebec town of Val d'Or. Every 6 weeks he continues on from Val d'Or to other remote communities, checking in on his schizophrenic patients along the way. At the end of the day, he flies home to Montreal. This peripatetic life — after 22 years, he has the routine down pat — lets the McGill psychiatrist be part of many communities. “Each of these towns has its unique identity, its own history, its own idiosyncrasies. And it's just beautiful country to roll through.” An avid hiker and cyclist, Kraus rarely gets a chance to experience the backwoods when he is up North. As one of the few psychiatrists seeing outpatients in the mining towns of Val d'Or and Timmins, Ont., he has almost no free time. Another of his regular stops is Cochrane, an Ontario town with 4500 residents. Since 1992, Kraus has been its sole psychiatrist. Despite the shortage of help, Kraus says patients who develop a mental illness may be better off in places like Val d'Or than in Montreal. In the North, he says, they become more integrated into the life of their small communities and have a greater sense of belonging. Flying in and flying out every few weeks gives Kraus a break in his routine and satisfies his desire to see how patients fare over the long term. “I've known some of these patients for 15 to 20 years. The life stories of people who work in the mines or who go into the forest to cut their own wood are very different from the stories I hear in Montreal.” Despite his commitment to outreach psychiatry in the North, Kraus is a city boy at heart. He grew up in Westchester, NY, but has lived in the heart of Montreal most of his adult life. A pianist, he was awarded a master's degree in music performance the day he graduated from medical school. Kraus first flew north in the cockpit of a turbo-prop owned by Dr. Maurice Dongier, the Montreal psychiatrist who pioneered the provision of psychiatry services in remote communities. Because Kraus has a pilot's licence, he often flew the plane himself. Now that commercial airlines fly the route, he contents himself with driving the backroads between towns and meeting up with the occasional moose, bear or flooded highway along the way. “I can go the 72 km between Duparquet [Quebec] and Matheson [Ontario] and not see another car,” he says. The other perk is the people. “It's really about forming relationships,” he says. “Psychiatry is a very transportable skill. I don't have to bring equipment along — I just bring myself.” — Susan Pinker, Montreal
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.007 | 0.021 |
| Insufficient payload (model declined to judge) | 0.048 | 0.026 |
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".