Information article /Article d’information
Bibliographic record
Abstract
A previous noise exposure survey involving the Canadian Opera Company (COC) orchestra followed several musicians over the course of two operas (Lee, Behar, Wong, and Kunov, 2005) and found that the musicians were not at risk. Since then, the COC has moved to a new building. Thus, a new study was conducted to examine whether the new venue would have an effect on noise exposure. Measurements were taken during three performances of five different operas using five dosimeters attached to music stands located throughout the orchestra pit. While the exposure levels were found to be different across operas and instrument sections, these effects were independent. In general, the exposure levels were slightly lower in the new building for all musicians with woodwinds showing a large decrease. These decreases are likely due to a larger and less enclosed orchestra pit along with fewer brass musicians playing under the pit roof. While the present study did not find evidence for a risk of hearing loss for work performed in the new venue, the musicians engage in a variety of activities outside the COC that when added to their COC work may pose a risk of noise induced hearing loss. r é s u m é Une précédente étude sur l ’exposition sonore des musiciens de l ’orchestre du Canadian Opera Company
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.861 | 0.522 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".