MétaCan
Menu
Back to cohort
Record W1499640288 · doi:10.1017/ccol9780521833479.005

First among equals: Haydn and his fellow composers

2005· book-chapter· en· W1499640288 on OpenAlexaff
David W. Jones

Bibliographic record

VenueCambridge University Press eBooks · 2005
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMOZARTHyperboleBiographyPoetryArtLiteratureArt historyPhilosophyLinguisticsMetaphor

Abstract

fetched live from OpenAlex

A striking paradox of Haydn's career is that he traveled very little until the two London visits of the 1790s, yet achieved a degree of international eminence that was unequaled in his time. While composers such as Gluck (1714–87), Hasse (1699–1783) and Mozart (1756–91) traveled extensively they never achieved the same durable, self-perpetuating fame that accrued to Haydn during his lifetime. It was without any poetic hyperbole, therefore, that Griesinger was able to write the following encomium near the beginning of his celebrated biography of the composer. Haydn was founder of an epoch in musical culture, and the sound of his harmonies, universally understood, did more than all written matter together to promote the honor of German artistic talent in the remotest lands. Haydn's quartets and symphonies, his oratorios and church pieces, please alike on the Danube and on the Thames, on the Seine and the Neva, and they are treasured and admired across the sea as in our own part of the world. Throughout his biography Griesinger manages to convey the impression that fame was something that happened to Haydn and was not, as in the cases of Gluck, Hasse, Mozart, and others, something that had been actively sought. While this willfully ignores the more opportunistic, ambitious side of Haydn's personality it also conveniently plays into another aspect of the composer's character nurtured by Griesinger: the thoughtful creative figure who was isolated and who achieved greatness alone. On the many years at Eszterháza he was able to quote Haydn directly: “I was set apart from the world, there was nobody in my vicinity to confuse and annoy me in my course, and so I had to be original.”

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)0.004
metaresearch head score (Gemma)0.009
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: Other · Consensus signal: Other
Teacher disagreement score0.027
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0270.008
Scholarly communication0.0190.008
Open science0.0010.010
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0180.004

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 head0.034
GPT teacher head0.180
Teacher spread0.147 · 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
GenreOther

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

Citations38
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooksSame topicMusicology and Musical AnalysisFrench-language works237,207