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Record W4390052006 · doi:10.1079/9781800623309.0009

Restoring Relationships of Respect with Eagle Relatives

2023· book-chapter· en· W4390052006 on OpenAlexaff
Bobbie Chew Bigby

Bibliographic record

VenueCABI eBooks · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsEagleIndigenousSnapshot (computer storage)GeographySociologyEnvironmental ethicsEthnologyHistoryEcologyComputer scienceBiology

Abstract

fetched live from OpenAlex

This chapter takes a focused look at the experience of Tribal-led Eagle Aviary tours in the US state of Oklahoma and specifically among the Citizen Potawatomi Nation (CPN). The CPN Eagle Aviary was opened in 2012 to provide care for injured eagles that cannot be released to the wild, along with providing tours and educational experiences to Tribal members and the wider public. Using a critical Indigenist approach and Indigenous storywork methodology, this chapter provides a snapshot of the Aviary tour experience to reveal the layers of Potawatomi culture, belief and practice that are shared in conjunction with visitors’ experiences with eagles. This chapter asserts that while a posthumanist theoretical approach can be seen to resonate with several facets of the tour, an Indigenous resurgence framework is more strongly suited to understanding the overall tour experience, as well as the Aviary’s objective of helping visitors to (re)establish relationships with these birds that are understood as eagle relatives with extraordinary capacities.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0100.010
Scholarly communication0.0040.004
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.080
GPT teacher head0.307
Teacher spread0.226 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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