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Record W2809643073

Politics of Repatriation, Formalizing Indigenous Cultural Property Rights

2018· dissertation· en· W2809643073 on OpenAlexaboutno aff
Ashleigh Breske

Bibliographic record

VenueVTechWorks (Virginia Tech) · 2018
Typedissertation
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsRepatriationIndigenousPoliticsCultural propertyPolitical scienceProperty (philosophy)Law and economicsEnvironmental ethicsSociologyAnthropologyLawCultural heritageEpistemologyPhilosophyEcology
DOInot available

Abstract

fetched live from OpenAlex

This project will be an empirical study into repatriation as a political practice. This theoretically-oriented project investigates how institutions and cultural values mediate changes in the governance of repatriation policy, specifically its formalization and rescaling in the United States. I propose a critical approach to understanding repatriation; specifically, I will draw together issues surrounding museums, repatriation claims, and indigenous communities throughout the development of the Native American Graves Protection and Repatriation Act (NAGPRA) in 1990 and current repatriation policy. The interdisciplinary academic narrative I build will explore practices of repatriation and how it relates to the subject of indigenous cultural rights. Using the University of Pennsylvania Museum of Archaeology and Anthropology in Philadelphia, PA and the Field Museum of Natural History in Chicago, IL as models for the repatriation process, I will show the historic political tensions and later attempts to repatriate culturally significant objects and human remains in the United States. By examining entrenched discourses prior to NAGPRA and what changed to allow a new dominant discourse in the debates over repatriation claims, I will show that culturally-structured views on repatriation and narratives surrounding indigenous cultural property were transformed. By examining ownership paradigms and analyzing discourses and institutional power structures, it is possible to understand the ramifications of formalizing repatriation. The current binary of cultural property nationalism/cultural property internationalism in relation to cultural property ownership claims does not represent the full scope of the conflict for indigenous people. Inclusion of a cultural property indigenism component into the established ownership paradigm will more fully represent indigenous concerns for cultural property. Looking at the rules, norms and strategies of national and international laws and museum institutions, I will also argue that there are consequences to repatriation claims that go beyond possession of property and a formalized process (or a semi- formalized international approach) can aid in addressing indigenous rights. I will also ask the question, does this change in discourse develop in other countries with similar settler colonial pasts and indigenous communities, i.e. in Canada, New Zealand, Australia? My work will demonstrate that it does. Essentially, the repatriation conversation does not immediately change in one country and then domino to others. Instead, it is a change that is happening concurrently, comparative to other civil rights movements and national dialogues. The cultural and institutional shifts demanding change appear to have some universal momentum. The literatures to which this research will contribute include: museum studies, institutional practices, material cultural and public humanities, and indigenous right.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.040
Scholarly communication0.0090.009
Open science0.0010.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.046
GPT teacher head0.255
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2018
Admission routes1
Has abstractyes

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