The north-western tribes of Canada.--Twelfth and final report of the committee, consisting of professor E. B. Tylor (chairman), Sir Cuthbert E. Peek (secretary), Dr. G. M. Dawson, Mr. R. G. Haliburton, Mr. David Boyle, and Hon. G. W. Ross, appointed to investigate the physical characters, languages, and industrial and social condition of the north-western tribes of the dominion of Canada
Bibliographic record
Abstract
"Title varies slightly. No 2d report was published in any form. The 3d report does not appear to have been issued separately and can be found in the association's report for 1887, p. 173-200. Partial listing of contents for this series on p. 1-2 of the 10th report. Index to the 4th to 12th reports in the 12th report. Reprinted from: Report of the ... meeting of the British Association for the Advancement of Science. Papers on the physical characteristics, language, industry, and social conditions of Indian tribes in British Columbia by Franz Boas, A. F. Chamberlain, Livingston Farrand, Horatio Hale, and E. F. Wilson." -- Lowther, B. J., & Laing, M. (1968). A bibliography of British Columbia: Laying the foundations, 1849-1899. Victoria, BC: University of Victoria, p. 77.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 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".