Bibliographic record
Abstract
The Nuu-Chah-Nulth collection covers a period from about 1780 to 1990. The various works making up this collection are roughly divided between the northern, central, and southern Nuu-Chah-Nulth tribes of Vancouver Island, British Columbia, Canada, and the Makah, a subgroup living on the Olympic Peninsula at Neah Bay, Washington State in the United States. Major studies in this collection are: Drucker, Colson, Swan, Koppert, Sapir and Swadesh, Arima and Dewhirst, and Reniker and Gunther. Other ethnographic topics discussed in this collection are: the girl's puberty ceremony and potlatch in Sapir; Makah games in Dorsey; an analysis of the Nuu-Chah-Nulth wolf ritual in Ernst; changing marriage patterns over a one hundred year period (1860-1960), in Gunther, and an account of a modern (ca.1970s) Nuku-Chah-Nulth community (Vancouver Island) in historical perspective in Kenyon
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.109 | 0.024 |
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".