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Record W2127698787 · doi:10.1162/0961121043067325

David Tudor's Apprenticeship: The Years with Irma and Stefan Wolpe

2004· article· en· W2127698787 on OpenAlex
Austin Clarkson

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

VenueLeonardo Music Journal · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsThe Wilson Centre
Fundersnot available
KeywordsPianoBattleArtGeniusApprenticeshipChampionPerformance artArt historyLiteratureVisual artsHistoryAncient historyArchaeology

Abstract

fetched live from OpenAlex

David Tudor's genius was evident from early childhood, but it was not until 1944, when he became a piano student of Irma Wolpe and a composition student of Stefan Wolpe, that Tudor began to realize his true potential. The Wolpes prepared Tudor for his extraordinary career as a path-breaking piano virtuoso and champion of the avant-garde. Tudor's years with the Wolpes culminated in the premiere of Battle Piece in 1950, Tudor's edition of which documents his collaboration with Wolpe in realizing the temporal dimensions of the score. Tudor's later path as a composer of live electronic music is traced back to his years of apprenticeship.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.904
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.187
Teacher spread0.168 · 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