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Record W1751910410

CSA appendix on measurement of noise exposure from headsets

2008· article· en· W1751910410 on OpenAlexaffvenue
Alberto Behar, Christian Giguère, Tim Kelsall

Bibliographic record

VenueCanadian acoustics · 2008
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsUniversity of OttawaHatch (Canada)University of Toronto
Fundersnot available
KeywordsHeadsetOctave (electronics)AcousticsNoise (video)Octave bandAttenuationMicrophoneNoise exposureNoise measurementComputer scienceNoise reductionAudiologyPhysicsOpticsHearing lossLoudspeakerArtificial intelligenceMedicine
DOInot available

Abstract

fetched live from OpenAlex

A new appendix to CSA standard Z107.56 is developed to cover measurements of noise exposure from employees wearing headsets for communication. An alternative indirect calculation method is also proposed that includes the main determinants of exposure as input parameters into the assessment, such as background noise and the attenuation of the device. A microphone is located in the ear simulator of the manikin, and the acoustic measurements are performed in 1/3-octave bands. The alternate calculation method shows that the noise reduction of the headset is assumed to be zero unless the manufacturer can provide user fit octave band attenuation data. The results also show that if the headset is used more than 1 hr per day, the background noise has less than 1 dB effect on the result.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.033
GPT teacher head0.210
Teacher spread0.177 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations4
Published2008
Admission routes2
Has abstractyes

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