Autism and the effect of introducing a new noise source into quiet rural communities: risk factor from industrial wind power generation
Bibliographic record
Abstract
Some individuals with Autism Spectrum Disorders (ASD) may react negatively to noise including low-frequency noise, infrasound, vibration and other environmental emissions. There are specific concerns in the Province of Ontario, Canada, related to the exposure of people with autism to the environmental noise and infrasound produced by an additional noise source, in this case from the introduction of industrial-scale wind turbines into quiet rural communities. The objective of this report is to explore the potential for effects of exposure to a new noise source on this specific and vulnerable population. There is a significant research gap regarding the impact of the introduction of industrial-scale power generation from wind into rural communities and on children with ASD. The additional noise and low-frequency sound produced by the wind turbines may add to the burden of environmental noise that the ASD population is already coping with, including exposures at home and at school. Front-line professionals such as educators and health care workers need to be aware of this possibility.
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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 | 0.001 | 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 | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".