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Record W6955754940 · doi:10.5860/choice.231965

Review Of "Dancing Indigenous Worlds: Choreographies Of Relation" By J. Shea Murphy

2023· article· en· W6955754940 on OpenAlexaboutno aff

Bibliographic record

VenueWorks - Scholarship, Research, & Creative Expression (Swarthmore College) · 2023
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousDanceOpposition (politics)Traditional knowledgeInclusion (mineral)

Abstract

fetched live from OpenAlex

In this book, her second, Shea Murphy (Univ. of California, Riverside) extends a trajectory she began in her first book, The People Have Never Stopped Dancing: Native American Modern Dance Histories (CH, Jun'08, 45-5492). She deepens discussions regarding Indigenous knowledge grounded in relationality and the ways such understandings permeate current Indigenous dance practices. Sharing examples from some 20 years of research—including conversations with Indigenous dancers and communities in Aoteroa, Australia, and North America—Shea Murphy presents important perspectives. She asserts the importance of the voices of Indigenous dance artists within the larger field of dance studies. Writing as a non-Indigenous scholar, she documents, in dialogue with her Indigenous colleagues, practices that re-center their creative projects in opposition to past colonialist norms. The author draws on and incorporates arguments from other decolonizing writing in dance theory, anthropology, and philosophy. She investigates ways indigenous environments and creations manifest in California, Minnesota, New York, and Ontario, as well as Aoteroa. The widely varied contexts demonstrate the vibrancy of current respectful, relational, Indigenous choreographies. Inclusion of writing by and interviews with Indigenous collaborators further supports the author’s approach. Useful notes and an extensive bibliography ground and augment the text. Helpful photos are included. Valuable for scholars of dance, Indigenous studies, and anthropology. Summing Up: Highly recommended. Graduate students, researchers, faculty.

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)0.004
metaresearch head score (Gemma)0.011
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0100.019
Science and technology studies0.0050.007
Scholarly communication0.0060.007
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.065
GPT teacher head0.394
Teacher spread0.330 · 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
GenreReview

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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