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 rgulirement faire face des conditions de bruit nocives, lesquelles ne se manifestent pas souvent dans les autres milieux de travail.Cet article couvre les lments essentiels d'un programme de prvention de la perte auditive propos pour les Forces Armes Canadiennes.Le programme a spcialement t conu pour satisfaire les mthodes de mesure du bruit et d 'valuation du risque, les limites d 'exposition, les exigences en matire d 'utilisation de protecteurs contre le bruit et les autres mesures contenues dans le rglement canadien sur la sant et la scurit au travail (Partie VII : Niveaux acoustiques), tout en tenant compte de la spcificit de l 'environnement militaire.L'article traite plus particulirement de la base scientifique du programme de prvention et des aspects qui ne sont pas gnralement retrouvs dans les autres milieux de travail (horaires de travail variables, bruits impulsionnels excessifs, exposition sur de longues dures, casques protecteurs avec systme de communication intgr, etc.).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".