Robert Bringhurst, A Story as Sharp As a Knife. The Classical Haida Mythtellers and Their World | Nine Visits to the Mythworld. Ghandl of the Qayahl Llanas. Vancouver-Toronto, Douglas & McIntyre, 1999, 527 pages | Translated from Haida by Robert Bringhurst. Lincoln, University Press of Nebraska, 2000, 222 pages
Bibliographic record
Abstract
En 1900-1901, John Reed Swanton (1873-1958), qui debute sa carriere d’ethnologue au Bureau of American Ethnology, se rend chez les Haida des iles de la Reine Charlotte (Colombie britannique) avec l’appui de Franz Boas sous la direction duquel il avait prepare son doctorat a l’Universite de Harvard. Outre collecter des d’objets, il se proposait d’etudier la vie ceremonielle, la fonction des masques, le systeme des blasons, les regles de mariage, etc. Swanton sejourne dans les deux villages de ...
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".