Bibliographic record
Abstract
FOR THOUSANDS OF YEARS BEFORE frst contact in the eighteenth century, the Salish peoples of southern Vancouver Island, the Nu-chah-nulth on the west coast of the Island and the Kwakwa̱ ka̱ 'wakw on its northeastern coast, hunted, fshed, conducted their seasonal rounds, and lived in winter villages.They made treaties among themselves concerning the allocation and use of the land and its resources, they resisted raiding parties from northern nations such as the Haida, and they occasionally engaged in conficts with one another and with more distant nations.1774 Juan Perez (Spain) encounters Haida off Haida Gwaii but does not go ashore.1778 Captain James Cook (United Kingdom) and his crew are the frst Europeans known to have come to what is now British Columbia, at Nootka on Vancouver Island.News of the value of the sea otter pelts they obtained and sold in China sparks the maritime fur trade on the Island's west coast.Spanish, British, and American ships all take part.1790 Spain, in the Nootka Convention, acknowledges Britain's right to trade in the area.Manuel Quimper and Gonzalo López de Haro (Spain) sail up the Strait of Juan de Fuca, stopping at Sooke and Royal Roads.1791 Francisco de Eliza and José Maria Narvaez (Spain) sail up Haro and Georgia Straits to Saturna Island, Howe Sound, and Texada Island, stopping in the harbour at Nanaimo on their way south.1792 Captain George
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.436 | 0.254 |
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".