Repatriation of Indigenous Peoples’ Cultural Property: Could Alternative Dispute Resolution Be a Solution? Lessons Learned from the G’psgolox Totem Pole and the Maaso Kova Case
Bibliographic record
Abstract
Considering that the vast majority of the objects constituting Indigenous Peoples’ cultural heritage are now located outside their source communities, the restitution of cultural property has become a pressing issue among Indigenous Peoples worldwide and should be understood as part of Indigenous Peoples’ historical (as well as current) encounter with colonization and its consequences. As such, this article investigates whether international cultural heritage law offers any possibilities for successful repatriation and to what extent the shortcomings of the framework in place could be complemented by alternative dispute resolution (ADR) mechanisms and the new mandate of the Expert Mechanism on the Rights of Indigenous Peoples (Expert Mechanism). First, crucial concepts in the repatriation debates are explained. Next the factual background of the case studies of the G’psgolox Totem Pole and Maaso Kova are presented. This is followed by a discussion of the most pertinent mechanisms of international cultural heritage law and the place of Indigenous Peoples’ rights within such a framework. Subsequently, the concept of ADR is introduced, and the details of the negotiation processes between the Haisla First Nation (Canada) and the Yaqui People (Mexico, the United States) – both with the Museum of Ethnography in Stockholm (Sweden) – are presented. Finally, the article evaluates to what extent ADR could be an appropriate mechanism for the settlement of disputes concerningIndigenous Peoples’ cultural property, andwhether the Expert Mechanism is a well-suited body for facilitating the process of repatriating Indigenous Peoples’ cultural heritage.
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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 | 0.017 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.024 |
| Scholarly communication | 0.019 | 0.015 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.014 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 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".