Bibliographic record
Abstract
Born in Toronto, Ontario and passing in Victoria, British Columbia, Murray Adaskin was a violinist, composer, and academic whose music was widely performed in Canada. Adaskin was violinist with the Toronto Symphony Orchestra in 1926–36, and held senior academic and administrative positions at the University of Saskatchewan (1952–73) and the Canada Council for the Arts (1966–69). His compositional style largely avoids allegiance to modern and experimental currents of the twentieth century, balancing conservatism and lyricality with atonal and folk elements. An expedition to Canada’s arctic to record Inuit singing in 1965 proved influential to Adaskin, resulting in several works including Qala and Nilaula of the North (1969, for small orchestra), Rankin Inlet (1978, for piano duo), and Eskimo Melodies (1980, for piano). Adaskin wrote that he hoped his music would "someday be recognized for its Canadian flavor," and much of his programmatic oeuvre dedicates itself to regional and national topics (Canadian Music Centre, Musicanada, 9). His chamber opera based on a Metis fur trader, Grant, Warden of the Plains (1967), was commissioned for Canada’s centenary. The Adaskins, including Murray’s brothers John (1908–1964) and Harry (1901–1994), were significant influences on the cultivation of art music in Canada during the postwar period.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 0.012 |
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".