Snowshoe & Lancet: Memoirs of a Frontier Newfoundland Doctor, 1937-1948 (review)
Bibliographic record
Abstract
Organized sequentially around journal entries, these memoirs focus mainly on the author's medical exploits. He first went to Notre Dame Bay Memorial Hospital in Twillingate, Newfoundland, in 1934, to spend the summer after his third year of medical school at Johns Hopkins. He was lured by the prospect of gaining more clinical training and finding a way to escape the stifling heat of Baltimore. [End Page 175] The Hopkins connection at this hospital was firmly in place: when the Notre Dame Bay Memorial Hospital officially opened in 1924, its director was Charles Parsons, a 1919 graduate of the Johns Hopkins medical school. Parsons had initially gone north to join Sir Wilfred Grenfell in the work of his Labrador Mission. Concerned by the lack of medical facilities on the northeast archipelago of Newfoundland, Grenfell spearheaded the formation of this hospital. After Parsons became head of the hospital, he returned from time to time to Hopkins to recruit physicians, nurses, and medical students for his staff. John Olds, one of Parsons's most promising student recruits, returned in 1931 to Notre Dame after receiving his medical degree from Johns Hopkins; when Olds became director in 1935, he continued to draw upon Hopkins for staff, and Ecke was one of his recruits.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".