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Record W4411740164 · doi:10.1017/s1479409824000375

Tuning Sounds in Italy, 1750–1885

2025· article· en· W4411740164 on OpenAlexaff
Ellen Lockhart

Bibliographic record

VenueNineteenth-Century Music Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHistoryComputer scienceSpeech recognition

Abstract

fetched live from OpenAlex

Abstract This essay takes as its point of departure the so-called ‘Verdi A’, 432Hz. From the late 1860s through to the 1880s, the opera composer was intensely preoccupied with the question of tuning, weighing in several times on the matter of where A should sit. Verdi was concerned for the strain that high tunings should place on singers’ voices. He advocated on multiple occasions for global acceptance of an A well below 440, and sent Arrigo Boito to argue in favour of A=432 at the Congresso dei Musicisti Italiani, held in Milan on 16–21 June 1881. In the 1880s, Italy remained one of the only nations in Europe that had not adopted equal temperament wholesale for fixed-tone instruments; as in the case of its spoken languages during this same period, and the locations of its A, temperament varied by region, with the southern part of the peninsula clinging to meantones. This article argues that ‘Verdi tuning’ represents the end point of a number of longer shifts in the conceptualization of musical sound, particularly in the Italian context: from temperament to tuning ( accordatura ); from relative conceptions of musical pitch to an absolute one; from local and regional variations towards a standardized system; from an older notion of all-encompassing nature to a presumed separation between nature and culture. Tracing this history through the Italian long nineteenth century will involve concentrating on what this article calls music-adjacent sound: that is, interrogative play with musical pitch; sound experiments from musical materials and operatic voices; instrument tuning by ear; listening for overtones; legislating preferred ratios and (eventually) frequencies for musical use; and constructing a theory of music that draws together these means of sounding. Music-adjacent sound is where the conditions for music-making were and still are established. This article argues that an attention to these sonic and nearly musical moments can demonstrate how listening and the musical imagination were cultivated outside the boundaries of any work or performance.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.002

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 head0.032
GPT teacher head0.365
Teacher spread0.333 · 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
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

Citations1
Published2025
Admission routes1
Has abstractyes

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