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Record W2399001726 · doi:10.1093/ml/gcv116

<i>Alois Hába (1893–1973): Mezi tradicí a inovací.</i>By Vlasta Reitterová and Lubomír Spurný

2016· article· cs· W2399001726 on OpenAlexaboutno aff
John Tyrrell

Bibliographic record

VenueMusic and Letters · 2016
Typearticle
Languagecs
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsnot available
Fundersnot available
KeywordsTone (literature)Quarter (Canadian coin)PianoHistoryArtLiteratureArt history

Abstract

fetched live from OpenAlex

Pity the poor composer lumbered with a label. A label can provide early recognition but can easily turn into an albatross. And if the label refers to what was once an excitingly modern-sounding project, it can, decades later, sound distinctly old-fashioned. If Alois Hába is known outside his homeland, it is as one of the most prominent and industrious composers of quarter-tone and sixth-tone music. But quarter-tone and sixth-tone music, however up to date in the 1920s and 1930s, has been overtaken by the infinite resources of electronic music, leaving an array of expensive and complicated specially made quarter-tone pianos and clarinets languishing in museums rather than in general use. To brand Hába with this particular label, however, was unfair in the first place, as Vlasta Reitterová and Lubomír Spurný plaintively point out. Less than a third of Hába’s vast output is microtonal (including one never-to-be repeated fifth-tone string quartet); it includes much more diatonic and chromatic music. And Hába’s overall profile is one of the most interesting of Czech composers of his day: a leading modernist, an influential teacher, a committed left-wing composer, and a music organizer.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.034
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0340.022

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 head0.013
GPT teacher head0.159
Teacher spread0.145 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2016
Admission routes1
Has abstractyes

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