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Record W7161292571 · doi:10.5406/23274271.50.3.09

The Angel Mounds Repatriation and Reburial: A Miami Tribal Perspective

2025· article· en· W7161292571 on OpenAlexaff
Rebecca A. Hawkins, Scott Willard

Bibliographic record

VenueMidcontinental Journal of Archaeology · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsAlgonquin College
Fundersnot available
KeywordsRepatriationIndigenousKinshipPerspective (graphical)Foundation (evidence)InstitutionScholarship

Abstract

fetched live from OpenAlex

Abstract In any NAGPRA effort, the perspectives of Tribal Nation and institutional representatives—even when mutually acknowledged and respected—differ. We are each informed by our own histories and guided by our own concerns. Tribal representatives may identify clear cultural echoes in the archaeological evidence of mortuary behavior and feel kinship to the corporal remains of the ancestors themselves. Even in the absence of those associations, Tribal representatives may see NAGPRA work as fulfilling their obligations as indigenous stewards and as active proponents for cultural sovereignty. Some institutional representatives may simply see NAGPRA collections as problematic items to divest the institution of as soon as possible. Some representatives, as well as scholars and museum staff and the like, may see in their institution's NAGPRA collections the hard evidence that has revealed the human past to science and the foundation of research and exhibits, evidence that will now be lost to such pursuits. In NAGPRA collections, as well as in the manner in which they and the information generated by them have been stored and studied, these same professionals also may see the material referents of the very history of American archaeology, anthropology, and museology. Yet, regardless of any divergence of Tribal and institutional perspectives, the Angel Mounds repatriation resulted not only in the return of the ancestors and their belongings to the earth. It is also an exceptional example of consensus building and collaborative NAGPRA work.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.720
Threshold uncertainty score0.847

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
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 head0.009
GPT teacher head0.304
Teacher spread0.295 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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