Nuclear Families and Nuclear Risks: The Effects of Gender, Geography, and Progeny on Attitudes toward a Nuclear Waste Facility*
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
Abstract Studies of reactions to nuclear facilities have found consistent male/female differences, but the underlying reasons have never been well‐clarified. The most common expectations involve traditional roles—with men focusing more on economic concerns and with women (especially mothers) being more concerned about family safety/health. Still, with changing gender roles, women are becoming economic providers as well as caregivers; past studies have not actually examined the interaction of employment and gender effects. This study examines a rural county where issues of risk and economic interest were both salient—a county where a nuclear waste site had been proposed but where an existing nuclear power plant was a major employer. Overall, concern levels expressed by employed mothers did not differ significantly from those in the rest of the sample, but further analyses revealed a sharp contrast: In the half of the county that was home to the existing nuclear power plant, where economic concerns could be expected to be more salient, over 90 percent of the employed mothers expressed low levels of concern; in the other half of the county, closer to the potential risks of the proposed nuclear waste site, almost 90 percent of the employed mothers expressed high levels of concern. No such differences are found for other sociodemographic groups. This county may or may not be unique; what the findings show is that the interplay of geography, gender roles and risks should receive more attention in other contexts, as well.
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 | 0.001 | 0.002 |
| 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