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Record W2188159167 · doi:10.1215/22011919-3614935

Refining<i>Uranium</i>: Bob Wiseman's Ecomusicological Puppetry

2014· article· en· W2188159167 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

VenueEnvironmental Humanities · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsYork University
Fundersnot available
KeywordsNarrativeComedyMusicalConsciousnessBridge (graph theory)The artsArtContent (measure theory)LiteratureEthnographyPerforming artsAestheticsVisual artsSociologyPhilosophyEpistemologyAnthropology

Abstract

fetched live from OpenAlex

Abstract This paper describes Bob Wiseman's allegorical piece, Uranium, arguing that it accesses emotion to alter the consciousness of percipients. Audiences respond with unusual intensity to Uranium's tragic environmental narrative. By using puppet theatre, film, comedy, and song to win their trust, Wiseman is able to shock his spectators. With interviews and consideration of the semiotic content of Uranium, I explore possibilities for activation of ecological consciousness through performing arts. Building on the shared ideas of Heinrich von Kleist, Gregory Bateson, and Thomas Turino, I argue that Wiseman offers one particularly useful mechanism to advance environmental concerns and learning through the arts. This paper seeks to bridge environmental and (ethno)musicological thought, and has specific relevance to the growing field of ecomusicology, presenting a musical ethnographic case-study in singer-song-writer activism.

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 categoriesMeta-epidemiology (narrow), Insufficient 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.919
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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0340.003

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 head0.066
GPT teacher head0.188
Teacher spread0.122 · 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