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Record W1934735224

Occupational noise control in Australia - Its policy and management

2004· article· en· W1934735224 on OpenAlexvenueno aff
Jingnan Guo, Pam Eia Gunn

Bibliographic record

VenueCanadian acoustics · 2004
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationCommonwealthGovernment (linguistics)JurisdictionBusinessPolitical scienceEnvironmental healthMedicineLaw
DOInot available

Abstract

fetched live from OpenAlex

Noise has long been recognized as one o f the priority occupational hazards in Australia.Noise-induced hearing loss (NIHL) is probably the most prevalent occupational disease in Australian industries and it is the major cause o f deafness in Australia.All six Australian States, the two Territories and the Commonwealth Government have their own legislation to manage occupational noise.Whilst these are not all the same they are similar and nearly all States and Territories have now adopted the Australian National Occupational Noise Standard into their legislation.The government structures and agencies that administer occupational noise legislation are also different in the different States and Territories.In this paper occupational noise legislation in the Commonwealth jurisdiction and in all Australian States and Territories will be summarized.Brief comparisons with legislation in American and European countries will be made.The government structure and relevant legislation and policies for occupational noise management in Western Australia will be explained.The role o f WorkSafe Western Australia in enforcing the legislation and assisting workplaces to comply with it will be discussed. s o m m a ir eLe bruit est depuis longtemps reconnu comme étant l 'un des principaux dangers dans le milieu professionnel en Australie.La perte auditive due aux nuissances sonores est, probablement, la maladie professionnelle la plus répandue dans les industries australiennes et est considérée comme étant la cause principale de surdité en Australie.Les six états composant l 'Australie, les deux territoires et le gouvernement du Commonwealth ont chacun leur propre législation pour contrôler le bruit dans le milieu professionnel.Même si ces législations ne sont pas toutes identiques, elles présentent des similitudes et presque tous les états et territoires ont jusqu'à présent adopté dans leurs législations les normes nationales australiennes concernant les nuisances sonores dans le milieu professionnel.Par ailleurs, chaque état et territoire est doté de structures et d 'agences gouvernementales propres pour lutter contre le bruit au travail.Cet article résumera les législations appliquées en matière de bruits dans la juridiction du Commonwealth ainsi que dans tous les états et territoires australiens.De brèves comparaisons avec les législations américaines et européennes seront faites.Des explications seront apportées concernant la structure gouvernementale, la législation et les politiques appropriées mises en place pour la gestion du bruit dans le milieu professionnel en Australie Occidentale.Le rôle que joue l 'organisme "WorkSafe Western Australia" dans le renforcement de la législation et dans l 'aide apportée sur les lieux de travail, pour faire respecter les lois, sera examiné en détail.

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.118
Threshold uncertainty score0.234

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0050.002
Open science0.0020.004
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0060.002

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 head0.084
GPT teacher head0.459
Teacher spread0.375 · 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 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

Citations2
Published2004
Admission routes1
Has abstractyes

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