Combined Analysis of the Association Between Air Pollution, Urban Green Space, and Neurodevelopmental Disorders
Bibliographic record
Abstract
This thesis aimed to test the association between environmental exposures and neurodevelopmental diagnoses, trait, and cognitive scores in a sample of children and adolescents living in Toronto, Canada.The influence of the environment on the prevalence and severity of Attention-Deficit Hyperactivity Disorder (ADHD), Obsessive-Compulsive disorder (OCD), and Autism Spectrum Disorder (ASD) is not yet clear.Studying the effects of these exposures in an urban environment is critical, as they represent potentially important modifiable risk factors.This thesis found evidence of an association between environmental exposures and OCD traits within the community.Consistent results in the analysis are promising; however, the results are preliminary and require further study.The results add to the uncertainty surrounding the effect of the environment on ADHD.Analysis of the combined results support the use of quantitative measures for assessing neurodevelopmental disorders, and the idea that disorders like ADHD and OCD exist at extreme ends of a spectrum of traits within the community.Chapter 4 -Conclusion............
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".