Bibliographic record
Abstract
Canadian psychiatrist and medical editor From general practitioner to journalist to stockbroker to psychiatrist to psychoanalyst: such was the curiously meandering career of Gordon Dickinson, sometime editor of the Canadian Medical Association Journal ( CMAJ ). These abrupt changes of direction inevitably had an impact on his family. “Over the time I was married to him,” his ex-wife Mary Lou reflects, “I felt like I’d been married to five different people.” His daughter, Andrea Dickinson, says, “He did tell me that he liked the opportunity to do different things. Nowadays it’s not unusual for people to have a number of careers over the course of their life, but in those days it was less common to go to a different discipline for a while.” Mary Lou Dickinson accepts the suggestion that her husband seems to have spent much of his working life finding out what he wanted to do. “But also making a contribution on the way,” she insists. CMAJ Dickinson was born to parents who had emigrated from England. …
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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 | 0.002 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.083 | 0.040 |
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".