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2014· book-chapter· en· W4237642346 on OpenAlexaboutno aff

Bibliographic record

VenueContinuum eBooks · 2014
Typebook-chapter
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsSpiritualityAppropriationNative americanDiversity (politics)Context (archaeology)SociologyEthnologyGender studiesAnthropologyEnvironmental ethicsPolitical scienceHistoryEpistemologyPhilosophyMedicineArchaeology

Abstract

fetched live from OpenAlex

Native Americans and Canadians are largely romanticised or sidelined figures in modern society. Their spirituality has been appropriated on a relatively large scale by Europeans and non-Native Americans, with little concern for the diversity of Native American opinions. Suzanne Owen offers an insight into appropriation that will bring a new understanding and perspective to these debates. This important volume collects together these key debates from the last 25 years and sets them in context, analyses Native American objections to appropriations of their spirituality and examines â€New Age’ practices based on Native American spirituality. The Appropriation of Native American Spirituality includes the findings of fieldwork among the Milkman of Newfoundland on the sharing of ceremonies between Native Americans and First Nations, which highlights an aspect of the debate that has been under-researched in both anthropology and religious studies: that Native American discourses about the breaking of â€protocols’, rules on the participation

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.838
Threshold uncertainty score0.542

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0070.003
Scholarly communication0.0060.005
Open science0.0020.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1620.035

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 head0.032
GPT teacher head0.285
Teacher spread0.253 · 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.

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
Published2014
Admission routes1
Has abstractyes

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