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Record W1891837411

The ANSI standard S12. 68-2007 method of estimating effective a-weighted sound pressure levels when hearing protectors are worn: A canadian perspective

2008· article· en· W1891837411 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian acoustics · 2008
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSound pressureAttenuationComputer sciencePercentileAcousticsAcoustic attenuationPerspective (graphical)Standard deviationField (mathematics)TelecommunicationsStatisticsMathematicsArtificial intelligencePhysics
DOInot available

Abstract

fetched live from OpenAlex

The Canadian ANSI standard S12.68-2007 method has been developed as a method of estimating effective A-weighted sound pressure levels after wearing hearing protective devices (HPD). The two percentile values would represent the sound attenuation that most individually trained users to achieve or exceed and that a few motivated proficient users to achieve or exceed. The Canadian workplaces of the NOISH 100 spectrum is used and a comprehensive analysis is conducted by Berger and Gauger. A field validation of Canadian workplace is required and would consist in the statistical comparison of field attenuation data. The developments of ANSI standard S12.68-2007 method provides 3 different practical tools to estimate from laboratory data the attenuation that user achieve in the field. The use and reference of ANSI standard S12.68-2007 method by the Canadian standards could be considered, after successful conduction of validation.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.701
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.047
GPT teacher head0.365
Teacher spread0.318 · 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