Exposure to environmental noise in day care centers
Bibliographic record
Abstract
Noise exposure for children and workers in day care centers is an important issue. Children and childcare workers are not only exposed to noise inside day care centers, but can also be exposed to high noise levels on a regular basis during outside play. Environmental noise measurements occurred at various locations outside a day care center located just a few meters from a busy freeway. Equivalent noise levels (LA eq ) measured before the outside play period ranged from 62 to 66 dB(A), while they reached levels greater than 70 dB(A) more than 50% of the time children were out playing. Significant differences (7 to 11 dB) were noted between noise levels measured in the absence of children at this day care center and those recorded at a second day care center not located in the vicinity of a freeway. The recorded noise levels are all higher than the World Health Organization's recommendations regarding the effects of noise most likely to be felt at the day care center: noise interference, sleep disturbance and annoyance. Traffic noise is not only a nuisance during outside play but also for indoor activities, especially when the windows facing the major noise source (the freeway) are opened. Noise reduction solutions that could be applied to the day care center are proposed. This study shows the importance of carefully planning the construction of day care centers since the implementation of corrective measures for reducing noise levels can be somewhat difficult and costly once the day care center has already been established.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".