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Record W1485484674

A comparison of acoustic effects of two stopper and crown systems in the modern flute

2001· article· en· W1485484674 on OpenAlexvenueno aff
J. Simon Tait

Bibliographic record

VenueCanadian acoustics · 2001
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFluteAcousticsHarmonicsLoudnessTimbreSound pressureAmplitudeHarmonicChirpEngineeringElectrical engineeringPhysicsVoltageArtOptics
DOInot available

Abstract

fetched live from OpenAlex

A new stopper and crown system developed by flute maker Robert Bigio is reported to produce a louder, harmonically richer and faster response in the orchestra flute. Using spectral analysis software, the author compared the two systems (Standard and Bigio) in a test flute to find any significant differences in relative loudness and amplitude of recorded test note harmonics. A homemade impedance head mounted on the flute's embouchure plate was used to measure the pressure response of the flute sound wave produced in response to signal excitation (Schroeder chirp, 500 to 5000 Hz). Results showed that the Bigio unit was associated with stronger levels of amplitude and total power, higher amplitude in harmonics, and a slightly higher pressure response. The Bigio unit may be important for improving the timbre of the flute, but more work must be done to ensure that harmonic changes are more consistent, and to decide whether pressure differences make for an easier or harder blowing flute.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.263
Teacher spread0.245 · 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 designBench or experimental
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

Citations2
Published2001
Admission routes1
Has abstractyes

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