Individual and Neighborhood Characteristics Associated with Environmental Exposure
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Environmental exposure research tends to emphasize the monitoring and regulation of emissions, with fewer investigations of exposure experienced in the general population. To help bridge the gap between environmental quality and perceived exposure, this study examines ambient exposures among 300 residents from each of 4 neighborhoods and among a control group of 300 residents in Hamilton, Ontario, Canada. Logistic regression analyses determined how individual, neighborhood, and housing characteristics influenced self-reported exposure in the workplace, inside the home, and around the home. Blue-collar occupations, neighborhood dislikes, and a home in disrepair were associated with work exposure. Neighborhood dislikes, renting, and indicating how the neighborhood could be healthier were associated with indoor exposure. Pesticide exposure was linked to professional occupations and to a specific neighborhood. Older homes were also associated with pesticide and indoor exposure. The findings highlight the need for further research on indoor exposure indices and on perceptions of neighborhood quality.
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.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it