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Record W2167454636

A NEW CSA HEARING PROTECTION STANDARD

2014· article· en· W2167454636 on OpenAlexaffvenue
Alberto Behar

Bibliographic record

VenueCanadian acoustics · 2014
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsDeratingHearing protectionComputer scienceNoise (video)Scheme (mathematics)Risk analysis (engineering)Field (mathematics)Work (physics)Reliability engineeringEngineeringTelecommunicationsHearing lossAudiologyElectrical engineeringArtificial intelligenceBusinessMedicine
DOInot available

Abstract

fetched live from OpenAlex

The first CSA hearing protectors’ standard was published back in 1965. Since then, there have been 6 editions, the last issued in 2002. There is a need to update the standard because manufactures improve their products and introduce new types, also because of advances in methods for testing protectors and in analysis oft the results. The big problem has been (and is still) how to equate the lab testing results with real life situations. The present edition of the standard appears under the name of Z94.2-14 Hearing Protection Devices – Performance, selection, care and use. It has just gone through a mandatory Public Review and is being prepared for publication, probably before the year end. This edition expands on performance requirements and rating schemes to help the user to select the device most appropriate for a given work situation.  It now includes the widely used Noise Reduction Rating (NRR) and a derating scheme to obtain more reliable noise level estimates. Potential use of Field Attenuation Estimation Systems (FAES) is also included. This Standard should be used in conjunction with CSA Z1007, Management of occupational hearing conservationprograms , that deals with all aspects of the creation and management of hearing conservation programs.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.906
Threshold uncertainty score0.944

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.336
Teacher spread0.297 · 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 designNot applicable
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

Citations0
Published2014
Admission routes2
Has abstractyes

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