Bibliographic record
Abstract
For more than one hundred years Canada’s national museum of human history, called, successively, the National Museum of Canada, the National Museum of Man, the Canadian Museum of Civilization, and, most recently, the Canadian Museum of History, has documented and assembled a record of intangible cultural heritage relating to various cultural groups. Originally collected and currently preserved under legislative mandates resting on broad assumptions about the public interest, this material includes a substantial body of narrative, song and information relating to both past and contemporary cultural practice of societies indigenous to Canada. This paper explores the issues for concepts of nationhood, knowledge and the public interest raised by the contractual agreements, legislation on topics ranging from copyright to family law, treaty negotiations between Aboriginal people and the Government of Canada, and consultation concerning different cultural definitions of property and the sacred that affect day-to-day access to and use of Aboriginal intangible heritage in the museum. Finally, the paper explores potential issues for the continuation of this work raised by the museum’s narrowing of focus and mandate as it changes from the Canadian Museum of Civilization to the Canadian Museum of History.
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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.074 |
| Scholarly communication | 0.020 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".