Toxic Fear: Climate, Contamination, and Worries about Future Flooding in Coastal Industrial Communities
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
Tropical storms and flooding can compromise industrial infrastructures and other land-based hazards in ways that contaminate nearby communities. This study uses novel data from the Houston Area Survey to investigate racial and ethnic disparities in reports of such contamination in metropolitan Houston during Hurricane Harvey and its influence on residents’ long-term worries about future flooding. Results indicate that among those negatively impacted by the largest rainfall event in US history, residents of color were more certain their communities were contaminated by nearby sites and facilities. Results also indicate that such reports are among the strongest and most consistent predictors of heightened worry about future flooding, not just in general but also for specific threats to one’s health, home, and community. Implications for coastal industrial communities and social inequities in ecoanxieties linked to natural-technical, or natech, and disasters are discussed.
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 | 0.001 | 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 it