Bibliographic record
Abstract
This book owes its existence to the Cree people to whom music means so much: the Cree hunters and their wives; my students from whom I continue to learn; and all the contemporary musicians who seek not just to be entertained, but to make life meaningful with music.I am particularly grateful for the work of three Cree interpreters-Elizabeth Kitty and Violet Bates of Chisasibi, Quebec, and Edna Voyageur of Misstassini, in northern Manitoba-and for the able translations of Stella Bearskin and Matthew Rat, of Chisasibi.My gratitude goes also to the young people I talked to in the 1970s about identity and the powwow who continue their search for a rightful place for indigenous people in Canadian society and remain willing to talk with all those truly interested.Ed Azure was outstanding in his efforts to help me understand the problems and potential of his people.You can read in some detail here about his dedication to teach others through the oral narratives.I have tried to show their devotion to, and affinity for, the realm of sound.To the Cree, music is an imperative, and hence the book's title, Essential Song.Most authors set out to write a book, but in my case I realized that after several decades of intense interest in the songs of Canada's subarctic Cree, I had a book.After talking with people, recording songs and sounds, and reading all the relevant articles and books I could find, I had many files of notes-and many more not-so-filed notes too.Such an unplanned procedure does not make for the easy assembly of information, and this book would never have happened without the encouragement of Robert Brockway and Catherine Brockway, and especially the hands-on help of Katie, who became my patient copy-editor.Many others have lent scholarly and
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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 | 0.005 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.537 | 0.412 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".