MétaCan
Menu
Back to cohort
Record W2895692820 · doi:10.7202/1051184ar

A Juggler on the Moon: How Sounds Think in Tom Stoppard's Darkside

2018· article· en· W2895692820 on OpenAlexvenueno aff
Neil Verma

Bibliographic record

VenueRecherches sémiotiques · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature, Film, and Journalism Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDramaEmbodied cognitionTheme (computing)Evasion (ethics)LiteratureArtHistoryPhilosophyEpistemologyComputer science

Abstract

fetched live from OpenAlex

This essay explores Tom Stoppard’s 2013 radio play Darkside , which incorporates elements of Pink Floyd’s 1973 album The Dark Side of the Moon , and dramatizes a series of thought experiments. I show how the combination of these three forms necessitates a rethinking of how sounds operate in radio drama, chart the play’s habits of diversion and evasion, and discuss how these tendencies are brought to bear on the central theme of climate change. At the heart of this essay is a proposal that the idea of the “sound of thought” embodied in Darkside may prompt a new approach to the theory of radio, one that begins not with what sounds mean, but with how sounds “think”.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.643
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.156
GPT teacher head0.304
Teacher spread0.148 · 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
GenreEmpirical

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

Citations1
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueRecherches sémiotiquesSame topicLiterature, Film, and Journalism AnalysisFrench-language works237,207