Ida Halpern: A Post-Colonial Portrait of a Canadian PioneerEthnomusicologist
Bibliographic record
Abstract
The work of Ida Halpern (1910–87), one of Canada's first musicologists and a pioneer ethnomusicologist, has been largely ignored. This essay illuminates her most important contribution to the musical development of this country: the documentation of Native musics. Halpern devoted some four decades to recording and analyzing over five hundred songs of the Kwakwaka'wakw, the Nuuchahnulth, the Haida, the Nuxalk, and the Coast Salish First Nations of British Columbia—a truly remarkable achievement considering that a large part of her fieldwork was conducted during a period when it was illegal for Native cultures to be celebrated, much less preserved. The author discusses the strengths and weaknesses of her methodology as well as some factors affecting the reception of her work by academic peers and by the communities she worked with. While Halpern did not always thoroughly investigate context, she endeavoured to write heteroglossically and to invent a theory that accounted for the music of these songs.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".