Museum collection decolonization and indigenous cultural heritage in an island community: East Greenland and the ‘Roots 2 Share’ Photo Project
Bibliographic record
Abstract
The Roots 2 Share project, a collaboration between two Dutch and two Greenlandic museums, was established to share museum collections and photographs housed in the Netherlands with the Tunumiit people of East Greenland. The Tunumiit regard the collections in the Netherlands as belonging to their cultural heritage, yet the Dutch maintain authority over the collections, leading to imbalanced power relations. This unequal relationship has its basis in museums’ colonial pasts and hinders the sharing and exchange of cultural heritage. As an island, Greenland is often regarded as the periphery in contrast to mainland centres of Denmark. Physical and cultural distance, as well as a power imbalance, prevent the Tunumiit of East Greenland from reconnecting with museum collections containing their own indigenous cultural heritage. The Roots 2 Share project was set up using the internet to overcome this distance, exploring new possibilities and techniques for providing access and giving indigenous communities a voice. New means of open communication, sharing authority, cooperation and exchange, and providing space for alternative stories may facilitate a decolonization of museum collections in island communities.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.007 |
| 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".