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Record W4282915139 · doi:10.5406/19407610.15.2.04

About the Authors

2022· article· en· W4282915139 on OpenAlexaboutno aff

Bibliographic record

VenueMusic and the Moving Image · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIconThe artsCitationArtPublishingLibrary scienceThe InternetMedia studiesArt historyVisual artsSociologyLiteratureComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

toby huelin is a PhD candidate at the University of Leeds investigating the use of library music in contemporary television. His research is funded by the AHRC via the White Rose College of the Arts & Humanities (WRoCAH). Toby's forthcoming publications include peer-reviewed journal articles for Critical Studies in Television and the European Journal of American Culture, alongside chapters in a number of edited volumes. Toby is also a media composer: his music is featured in the Emmy Award–winning series United Shades of America (CNN), the documentary Subnormal: A British Scandal (BBC One), and an advertising campaign for internet brand Honey.anna mcauley is a graduate of English and music from the University of Leeds, UK. She wrote her undergraduate thesis on the topic of the disembodied voice in the work of Shakespeare, analyzing the Royal Shakespeare Company's 2017 production of Titus Andronicus. Therein she highlighted the distinction between live theatre music and other performing genres by exploring the use of the human voice in incidental music for the stage. Her research interests include interdisciplinary study between performance and literature, phenomenology, and ecocriticism, particularly in dystopian fictions.trevor penoyer-kulin is currently a PhD candidate in musicology at McGill University and is a recipient of the Joseph-Armand Bombardier Graduate Scholarship. Prior to attending McGill, he received his master of studies in musicology at the University of Oxford and his bachelor of music at the University of Toronto. His doctoral work centers on French operetta and the historical dynamics surrounding its development during the nineteenth century, but his research interests extend to more contemporary subjects as well, including film music.edward venn is professor of music at the University of Leeds. His research focuses on the analysis and interpretation of twentieth-century and contemporary music. He is editor of the journal Music Analysis and is on the editorial board of the Journal of Music and Meaning. He has recently coedited Thomas Adès Studies (Cambridge University Press, 2022) with Philip Stoecker and is currently completing an AHRC-funded research project on the operas of Thomas Adès.

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 categoriesScience and technology studies, Insufficient 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 score0.897
Threshold uncertainty score0.998

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 studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.070
GPT teacher head0.212
Teacher spread0.142 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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