Breaking copper: Legislating the repatriation of First Nations cultural property to restore self-determination and promote reconciliation.
Bibliographic record
Abstract
The repatriation of cultural property to First Nations is often guided by voluntary procedures developed by museums, and legislation enacted by government. The treaty process can also direct repatriation negotiations between First Nations and museums. The return of cultural property from museums to First Nations has the potential to restore aboriginal cultural self-determination rights and begin a process of reconciliation between these two groups. However, neither First Nations cultural self-determination nor reconciliation with museums can be achieved through the repatriation of cultural property alone. In order for cultural self-determination to be fully realized complete control over cultural property must be reinstated to First Nations communities. Conditions placed on the care and storage of returned objects can interfere with First Nations cultural practices and can foster mistrust and resentment towards museums. An examination of voluntary policies, treaty processes, and legislative acts demonstrates that legislation is best able to restore full cultural self-determination to First Nations and achieve reconciliation with museums. --P.ii.
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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".