Res Extra Commercium and the Barriers Faced When Seeking the Repatriation and Return of Potent Cultural Objects: A Transsystemic Critical Post-Colonial Approach
Bibliographic record
Abstract
The repatriation and return of objects of cultural value are often linked to decolonization projects and efforts to repair past wrongs suffered as a result of colonialism. Yet significant barriers hinder these efforts. These barriers primarily take the shape of time limitations, diverging conceptions of property and ownership, the high costs involved, and the domestic export and cultural heritage laws of both the source country and the destination country. I argue that these barriers are relics of colonialism that replicate and perpetuate the continued imposition of Eurocentric and Western legal notions and values on subaltern source countries and source indigenous groups. In order to truly move beyond the remaining relics of colonialism into a context where the culture and values of all groups are accorded equal respect, it is important that these barriers be removed.
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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 | 0.010 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.019 | 0.050 |
| Scholarly communication | 0.015 | 0.012 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.006 | 0.009 |
| 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".