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Sharing John Blacking

2018· reference-entry· en· W2966874103 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsYork University
Fundersnot available
KeywordsRepatriationEthnomusicologyFieldnotesContext (archaeology)MusicalVisual artsHistoryScope (computer science)SociologyMedia studiesArtAnthropologyArchaeologyComputer scienceEthnography

Abstract

fetched live from OpenAlex

As ethnomusicological collections become accessible to individuals, communities, and institutions beyond the scope of the original collector, their contents are often repurposed, reimagined, and reinformed. With the growing engagement with repatriation by archives, individuals, and institutions, field recordings, fieldnotes, images, and other supporting materials offer tangible and intangible records of musical performance, context, and historical data to scholars and the communities that first offered their music for scholarly research. Drawing from the Vhavenda materials in the John Blacking collection housed at the University of Western Australia, this chapter uses two case studies, on children’s music and musical instruments, to explore some of the myriad issues surrounding the repatriation of a historical ethnomusicological collection. The goal is to help shape how future archivists, scholars, and communities engage with archiving and repatriating ethnomusicological collections.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.272
Threshold uncertainty score0.996

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 studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1200.005

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 head0.224
GPT teacher head0.266
Teacher spread0.042 · 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

Quick stats

Citations29
Published2018
Admission routes1
Has abstractyes

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