Bibliographic record
Abstract
Il y a eu beaucoup d'inquitude au sujet des jeunes (et plus) personnes coutant les lecteurs de musique personnels dans le cadre de leur vie quotidienne et la faon de les protger contre la perte d'audition.CSA Z107.56 comprend une section sur l'estimation de l'exposition au bruit dans les casques qui met cette question en perspective.Bas sur des recherches indiquant que la plupart des gens rgler le volume de la musique et de la parole environ 15 dB au-dessus de la temprature ambiante actuelle la norme fournit une estimation de leur exposition au bruit.En supposant, comme la norme fait, que les couteurs typiques offrent peu de rduction du bruit ambiant, la plupart des gens ne seront pas exposes au-dessus de 85 dBA condition que le bruit de fond est infrieur 70 dBA.Dans la pratique, cela signifie que la surexposition devrait tre rare sauf dans les rues trs frquentes ou dans des vhicules plus forts, tels que les voitures de sport, le transport grande vitesse et des avions.Cela limite les domaines de proccupation considrablement et devrait aider cibler les moyens utiles pour contrler la surexposition.
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 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 | 0.000 | 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".