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Record W2106706834 · doi:10.1525/jm.2006.23.3.375

Anonymous IV as an Informant on the Craft of Music Writing

2006· article· en· W2106706834 on OpenAlexaff
John Haines

Bibliographic record

VenueJournal of Musicology · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCraftStyle (visual arts)The artsLiteratureVariety (cybernetics)MusicologyMusic historyVisual artsMusic educationArtComputer science

Abstract

fetched live from OpenAlex

ABSTRACT For the 13th-century music writer known as Anonymous IV, the craft of music writing was a primary literary concern, though one virtually ignored by previous modern writers on music. The importance of music writing to Anonymous IV is evident from the variety and quantity of references in his treatise, many of which are found in its central second chapter. This information-rich chapter includes a history of music notation and a miniature handbook for music scribes. The Anonymous is indebted to the then recent surge in production of how-to manuals of all kinds; his miniature handbook for music scribes partakes of their style and vocabulary. This practical work of Anonymous IV is tied to the revival of Euclidean geometry in the liberal arts curriculum at Paris. The specialized geometric terms he uses are attested in numerous sources, including student handbooks from the university. It is possible that the anonymous writer came under the spell of Roger Bacon, also an Englishman at the University of Paris in the late 13th century, whose writing and pedagogy reveal several similarities with the music treatise of Anonymous IV.

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)0.009
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0150.015
Scholarly communication0.0100.006
Open science0.0010.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0090.002

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 head0.029
GPT teacher head0.281
Teacher spread0.251 · 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 designQualitative
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

Citations29
Published2006
Admission routes1
Has abstractyes

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