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The Era of Endless Repatriation: Respectful Relationality and the Reconfiguration of Colonial Authority

2022· article· en· W4205930622 on OpenAlexvenueaboutno aff
Joseph Weiss

Bibliographic record

VenueAnthropologica · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsRepatriationIndigenousAppropriationColonialismSovereigntyContext (archaeology)SociologyLawPolitical scienceAestheticsHistoryPoliticsArtEpistemologyArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

Originally given in the form of two lectures at the Musée du quai Branly, this essay explores the often fraught politica of repatriation in a Canadian context. It suggests that we have moved into an era in which repatriation, understood in this alternate sense as the decentring of settler museum authority and the recognition of Indigenous sovereign rights, is simply unavoidable. This is not just about a “reckoning” with prior histories of colonial appropriation. Rather, it is a recognition of the fact that the structures of settler colonialism themselves are shifting (cf: Kauanui 2016), and museums in such contexts will need to engage with the idea of repatriation as such, as a social phenomenon that entails transformation over the longue durée instead of a set of individual, case by case incidents. Drawing on the author’s experiences as an anthropologist and a curator working with Indigenous Nations on the Northwest Coast of what is now called Canada, the essay ultimately argues that museums will arrive at stronger, more productive relationships with First Peoples by accepting the ongoing reality of repatriations. Indeed, it suggests that it is only through collaboration that genuinely decentres museum authority and foregrounds Indigenous sovereignty that museums will be able to develop genuinely future-oriented and responsible practices.

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, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.761
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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.035
GPT teacher head0.268
Teacher spread0.233 · 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 designTheoretical or conceptual
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

Citations2
Published2022
Admission routes2
Has abstractyes

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