[Axel Laurent-Christensen: a doctor "with feeling for snow"].
Bibliographic record
Abstract
In 1950 the district medical officer of Qaqortoq/Julianehåb, Axel Laurent-Christensen retired after having served in this position since 1930. Afterwards, during the years 1950-55, he was a medical officer in Aklavik, NWT, Canada. Here he had the opportunity to compare the arctic Canadian health care with the Greenland health care system. In his diary, of which selected parts are given in the present paper, he has commented on the differences. In the 1950's the Canadian system was highly centralized with the well-equipped Charles Camsell Indian Hospital in Edmonton as the center. The Greenland health service, on the other hand, was decentralized, based on small surgically staffed peripheral hospitals. The development of these two health care systems during the past 50 years has accentuated these differences. Estimated by the infant mortality, the efficiency of the Greenland health care system was superior to the Canadian during the 1950's, whereas in the 1990's, the Canadian health service is vastly superior.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.063 | 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".