Impulse noise exposure during personal weapons testing on an outdoor shooting range
Bibliographic record
Abstract
Noise levels on the range at the firing line were measured to estimate the exposure levels for all range personnel during personal weapons testing (PWT). Measurements were taken using a Larson Davis LxT sound level meter with a high pressure microphone at the firing line, and a Quest 1900 sound level meter in the butts. Digital recordings were also made with Sony PCMM1 portable digital audio tape (DAT) recorders. Measurements were taken approximately 30 cm from the ear of one of the shooters, and in the butts. The peak levels for the RSO and shooter were similar to those of the rifle, and exceeded the 140 dB OSHA limit. The possible solution to reduce the noise exposure to safe levels is to use non-linear earplugs which allow natural listening for non-hazardous noises, but provide attenuation for high-level impulses.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".