Eighteenth-Century Naturalists of Hudson Bay
Bibliographic record
Abstract
The authors show that meteorologic data and weather information recorded at the HBC trading posts over two centuries provide the largest and longest consecutive series available anywhere in North America, one that can help us understand the mechanisms and amount of climate change. They demonstrate that Hudson Bay is the second largest site of new bird species named by Linnaeus and reproduce some of George Edwards' colour paintings of these new species. Six informative appendices reveal how the invaluable HBC archives were transferred from London, England, to Winnipeg, correct previous misinterpretations of the collaboration and relative contributions of Thomas Hutchins and Andrew Graham, use two centuries of HBC fur returns to demonstrate the ten-year hare and lynx cycles, tell how the swan trade almost extirpated the Trumpeter Swan, explain how the Canada Goose got its name before there was a Canada, and offer an extensive list of eighteenth-century Cree names for birds, mammals, and fish. Informative tables list the eighteenth-century surgeons at York Factory and give names and dates for the annual supply ships.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".