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Record W4210448990 · doi:10.24043/isj.366

Museum collection decolonization and indigenous cultural heritage in an island community: East Greenland and the ‘Roots 2 Share’ Photo Project

2016· article· en· W4210448990 on OpenAlexaffvenue
Cunera Buijs

Bibliographic record

VenueIsland Studies Journal · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsIndigenousCultural heritageDecolonizationColonialismMainlandGeographyEthnologyHistoryArchaeologyAnthropologyPolitical scienceSociologyEcologyLawPolitics

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.066
GPT teacher head0.286
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2016
Admission routes2
Has abstractyes

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