Hearing loss prevention program in the military environment
Bibliographic record
Abstract
The military personnel regularly face a wide range o f noise-hazardous situations, many o f which are seldom encountered in other work environments.This paper reviews the essential elements o f a hearing loss prevention program proposed for the Canadian Armed Forces.The program has been designed to meet the noise measurement and hazard investigation procedures, limits on noise exposure, use o f hearing protection and other regulatory measures contained in the Canadian Occupational Health and Safety (COHS) Regulations (Part VII: Levels of Sound), while addressing the particular nature o f the military environment.The focus of the paper is on the scientific basis and issues that are not typically found in other occupational environments (variable work schedules, excessive impulse noise, exposure over sustained durations, communications devices, etc.). s o m m a ir eLe personnel militaire doit régulièrement faire face à des conditions de bruit nocives, lesquelles ne se manifestent pas souvent dans les autres milieux de travail.Cet article couvre les éléments essentiels d'un programme de prévention de la perte auditive proposé pour les Forces Armées Canadiennes.Le programme a spécialement été conçu pour satisfaire les méthodes de mesure du bruit et d 'évaluation du risque, les limites d 'exposition, les exigences en matière d 'utilisation de protecteurs contre le bruit et les autres mesures contenues dans le règlement canadien sur la santé et la sécurité au travail (Partie VII : Niveaux acoustiques), tout en tenant compte de la spécificité de l 'environnement militaire.L'article traite plus particulièrement de la base scientifique du programme de prévention et des aspects qui ne sont pas généralement retrouvés dans les autres milieux de travail (horaires de travail variables, bruits impulsionnels excessifs, exposition sur de longues durées, casques protecteurs avec système de communication intégré, etc.).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".