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Record W1937221909

Experimental validation of the objective measurement of individual custom earplug field performance

2006· article· en· W1937221909 on OpenAlex
Jérémie Voix, Lee D. Hager, Jean Zeidan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian acoustics · 2006
Typearticle
Languageen
FieldDecision Sciences
TopicScientific Measurement and Uncertainty Evaluation
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAttenuationOctave (electronics)AcousticsField (mathematics)Octave bandComputer scienceOpticsMathematicsPhysics
DOInot available

Abstract

fetched live from OpenAlex

A method was developed to meet the need to improve earplug field performance prediction accuracy by changing from average group performance prediction to individual performance prediction. The individual earplug field performance was objectively measured, using the Field-MIRE method. The individual attenuation was predicted from the field measurement of the Noise Reduction through the earplug. The individual attenuation was first obtained as a set of values for each octave band center frequency and these values were combined in a single number, the Predicted Personal Attenuation Rating (P-PAR). The observation confirmed that the low-frequency octave-band attenuation could be a good predictor of the overall attenuation as most earplugs attenuate significantly in high frequency. The observation also suggested that the high-frequency attenuation prediction adds much information and appeared to disturb the prediction capabilities of the measurement system.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.215
Threshold uncertainty score0.878

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.129
GPT teacher head0.325
Teacher spread0.196 · 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