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Record W2948350555 · doi:10.7202/1059892ar

Brian Cherney’s Illuminations

2019· article· en· W2948350555 on OpenAlexvenueno aff
David Adamcyk

Bibliographic record

VenueIntersections Canadian Journal of Music · 2019
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVisionMeditationVariety (cybernetics)String (physics)MysticismArtLiteratureVisual artsJewish mysticismPhilosophyAestheticsComputer scienceArtificial intelligenceTheoretical physicsTheology

Abstract

fetched live from OpenAlex

Brian Cherney’s Illuminations for string orchestra, composed in 1987, reflects ideas related to Jewish mysticism. Descriptions and accounts of meditation techniques that ultimately lead to visions of light, and even an encounter with the divine, so inspired the composer that he decided to write a piece that re-enacts a meditative cycle. Illuminations is thus a dramatic staging: the listener, as if granted special insight into the mind of someone who is meditating, witnesses how the mind is transformed as it approaches light (or the divine). The composition expresses light and the divine in multiple ways, from the layout of the instruments on stage, to the formal plan of the piece, to the variety of pitch collections heard throughout the work. This article unveils some of the subtle intricacies that make Illuminations so powerfully evocative, and why it remains one of Cherney’s signal achievements.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.652
Threshold uncertainty score0.911

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.209
Teacher spread0.195 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2019
Admission routes1
Has abstractyes

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