Beyond Rhetoric to Understanding Determinants of Wind Turbine Support and Conflict in Two Ontario, Canada 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
The literature concerning local opposition to wind turbine developments has relatively few case studies exploring the felt impacts of people living with turbines in their daily lives. Aitken even suggests that such residents are subtly or overtly cast as deviants in the current literature. Our mixed-methods, grounded-theory case study of two communities in Ontario, Canada provides insights about such residents though twenty-six face-to-face in-depth interviews, 152 questionnaires, and basic spatial analysis involving locals who have been living with operating turbines for several years. Despite being neighbours the communities differ on several measures including the spatial clustering of turbines. Opposition is significantly predicted by: Health, siting process, economic benefits, and visual aesthetic variables. Though a majority supports the turbines we focus on the interplay of that majority with those experiencing negative impacts, particularly related to health. We highlight an asymmetry of impacts at the local level on those who oppose turbines, which is supported by rhetorical conflict at multiple scales. The findings point to the need for greater attention to mitigating impacts, including conflict, by understanding how siting policies interact with social processes at the local level.
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 | 0.000 | 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