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Record W3044528844 · doi:10.5040/9781501362965

Representing Australian Aboriginal Music and Dance 1930–1970

2020· book· en· W3044528844 on OpenAlexfundno aff
Amanda Harris

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
FundersNational Institute on Drug AbuseCharles Darwin UniversityMonash UniversityState Library of New South WalesUniversity of New South WalesStrongNational Library of AustraliaAustralian Institute of Aboriginal and Torres Strait Islander StudiesUniversity of OxfordUniversity of CambridgeACT GovernmentEgg Farmers of CanadaJames Cook UniversityUniversity of MinnesotaUniversity of MelbourneSyracuse University
KeywordsDanceIndigenousMusicalContext (archaeology)Music historyColonialismPopular musicVisual artsSociologyCall and responseHistoryMedia studiesAestheticsArt

Abstract

fetched live from OpenAlex

<JATS1:p>Representing Australian Aboriginal Music and Dance 1930–1970 offers a rethinking of recent Australian music history. Amanda Harris presents accounts of Aboriginal music and dance by Aboriginal performers on public stages. Harris also historicizes the practices of non-Indigenous art music composers evoking Aboriginal music in their works, placing this in the context of emerging cultural institutions and policy frameworks. Centralizing auditory worlds and audio-visual evidence, Harris shows the direct relationship between the limits on Aboriginal people’s mobility and non-Indigenous representations of Aboriginal culture.</JATS1:p> <JATS1:p>This book seeks to listen to Aboriginal accounts of disruption and continuation of Aboriginal cultural practices and features contributions from Aboriginal scholars Shannon Foster, Tiriki Onus and Nardi Simpson as personal interpretations of their family and community histories. Contextualizing recent music and dance practices in broader histories of policy, settler colonial structures, and postcolonizing efforts, the book offers a new lens on the development of Australian musical cultures.</JATS1:p>

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.125
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.054
GPT teacher head0.328
Teacher spread0.274 · 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.

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

Citations19
Published2020
Admission routes1
Has abstractyes

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