Bibliographic record
Abstract
Châhkâpâs: A Naskapi Legend shares the story of Châhkâpâs, a heroic figure in First Nations storytelling, who performs feats of strength and skill in spite of his diminutive size. The book shares this traditional legend as originally recorded in the Naskapi community in northern Quebec in 1967 when it was narrated by John Peastitute, a Naskapi Elder and accomplished storyteller. Transcribed in the Naskapi language and syllabic orthography, the book offers a literary resource for the Naskapi language community, and the English translation enables those unfamiliar with the language, or the story, to discover this important legend. The book also contains extensive analysis of stories about Châhkâpâs, notes about the provenance of the recordings, a biography of the storyteller, and a history of the Naskapi people. Lavish illustrations from Elizabeth Jancewicz—an artist raised in the Naskapi community—provide a sensitive and accurate graphical account of the legend, which has also been approved by Naskapi speakers themselves.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.384 | 0.108 |
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".