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Record W2793317872 · doi:10.1162/posc_a_00266

Pythagorean Pipe Dreams? Vincenzo Galilei, Marin Mersenne, and the Pneumatic Mysteries of the Pipe Organ

2018· article· en· W2793317872 on OpenAlexaff
Brandon Konoval

Bibliographic record

VenuePerspectives on Science · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMersenne primePythagorean theoremDisenchantmentMusicalHistoriographyReading (process)PhilosophyArtMathematicsLiteratureHistoryGeometryPoliticsLawLinguisticsArchaeologyCombinatorics

Abstract

fetched live from OpenAlex

The pipe organ presented early modern science with a pneumatic black box of suggestive dimensions: while producing musical pitches and intervals that corresponded with those of an acoustic device like the monochord, pipe dimensions approached, but yet confounded clear association with the behavior of strings. Nevertheless, investigators like Vincenzo Galilei (c.1520–1591) and Marin Mersenne (1588–1648) continued to rely conceptually upon the monochord and the traditional ratios associated with it in their attempts to discipline the complex variables attending the acoustic properties of pipes. Thus, while certain conventions of historiography associate Vincenzo and Mersenne with a “disenchantment” of Pythagorean traditions that ostensibly retarded the development of an early modern physico-mathematics, their ratios of pipe scaling reveal instead a robust and evolving contribution of Pythagoreanism to mathematical reading of the Book of Nature.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.025
Scholarly communication0.0040.009
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.017
GPT teacher head0.236
Teacher spread0.219 · 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 designTheoretical or conceptual
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

Citations5
Published2018
Admission routes1
Has abstractyes

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