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Record W4404413771 · doi:10.4000/12i35

L’ars subtilior de Lachenmann

2008· article· fr· W4404413771 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

VenueFiligrane · 2008
Typearticle
Languagefr
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Serynade, composée en 1997-98 et à ce jour le grand-œuvre d’Helmut Lachenmann (1935) pour le piano, est basée sur des schémas dialectiques qui mettent en jeu un double rapport, d’une part entre des éléments différenciés sur le plan acoustique, et d’autre part entre des matériaux qui entretiennent des relations complexes avec la tonalité et son « aura ». Cet article a pour but de proposer un modèle analytique qui puisse prendre en compte ces aspects, fondamentaux pour la compréhension de la musique de ce compositeur. Le modèle s’appuie, entre autres, sur la théorie compositionnelle que Lachenmann a lui-même développée depuis les années soixante, ainsi que sur un système typologique et structurel original élaboré à cet effet.

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: Empirical · Consensus signal: none
Teacher disagreement score0.360
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0480.003

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 head0.040
GPT teacher head0.225
Teacher spread0.184 · 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