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Record W4394578419 · doi:10.1111/jola.12424

What do repatriation and reclamation sound like? Two examples from the Hopi Cultural Preservation Office

2024· article· en· W4394578419 on OpenAlex
Hannah McElgunn

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Linguistic Anthropology · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsQueen's University
FundersWenner-Gren FoundationNational Science Foundation
KeywordsHopiRepatriationLand reclamationSound (geography)ArchaeologyHistorySociologyEthnologyGeologyGeomorphology

Abstract

fetched live from OpenAlex

Abstract When the Native American Graves Protection and Repatriation Act (NAGPRA) was passed in 1990, it marked an important shift in relations between tribal communities and non‐tribal museums in the United States. By listening to how different speakers at the Hopi Cultural Preservation Office talk about repatriation and reclamation, we can see that these processes involve more than the return of ancestors and belongings; they also influence how people speak about and express group identity. In discussions about repatriation, Hopi community members frequently talk to outsiders and adjust to their ways of speaking, if only temporarily. I compare two instances in which speakers creatively used possessive constructions to convey different scales of identity and argue that Bakhtin's concept of “addressivity” illuminates connections between the two. More broadly, I suggest that this concept is useful for thinking about how relationships between tribal and non‐tribal institutions might continue to be transformed in ways that are responsive to contemporary Indigenous claims and presence.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.118
GPT teacher head0.329
Teacher spread0.211 · 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