“Too Late For Action.” A.G. Huntsman, M.L. Fernald and the Belle Isle Strait Expedition of 1923
Bibliographic record
Abstract
A. G. Huntsman’s Belle Isle Strait Expedition of 1923, the first oceanographic expedition organized by a Canadian, was modeled on the Canadian Fisheries Expedition of 1915, in which Huntsman had been a junior partner to the Norwegian fishery biologist Johan Hjort. Examination of Huntsman’s documents shows that the 1923 expedition had more than one aim. For example, Huntsman hoped that one of the participants would be M.L. Fernald, a botanist from Harvard University. Although Fernald did not take part, his reason for interest in the expedition was to document his hypothesis that the flora of northeastern North America had spread along an emergent borderland after the last glaciation or had remained in unglaciated areas. Huntsman’s aims were less transparent, but in addition to the oceanography they appear to be early steps in developing his concept of biapocrisis, the response of organisms as a whole to their individual environments, in which his collection of land plants during the expedition could play a part.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".