Symbol and Synergy: The Whaling Heritage of West-Coast Native Peoples
Bibliographic record
Abstract
"On North America's northwest coast, native people, the Nuu-chah-nulth of Vancouver Island and the Makah of Washington State, hunted whales for thousands of years. With the coming of Europeans, the native population was weakened by disease and forced to adapt to a new way of life. Traditional whaling for gray whales and humpbacks from cedar dugout canoes ended in the first decade of this century, though a few hunts are said to have occurred more recently. Now the Makah tribe of Washington State talk of resuming the hunt for gray whales, exercising a right affirmed in their treaty of 1853. Their relatives, the Nuu-chah-nulth living on the outer shores of Vancouver Island in Canada, have included recognition of their whaling heritage in their current treaty negotiations. Researchers believe that the gray whales' numbers were not threatened over thousands of years of aboriginal hunting; but in the latter half of the nineteenth century they were almost exterminated by commercial whalers. Then in 1905, modern steam whaling ships began annually killing hundreds of humpback whales, the natives' alternative prey. While humpback whlaes now are rarely seen, gray whales have returned to pre-commercial whaling numbers. And the Makah, who have never stopped looking to the sea for their sustenance, are ready to revive the hunt. Although both the Makah and Nuu-chah-nulth have been absorbed into the cash economy and a mainstream lifestyle, their whaling heritage has been retained in their cultural identity. This paper describes their traditional whaling and suggests some aspects of its significance today."
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.008 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".