High level radioactive waste and communities' risk perceptions: a case study of an on-going voluntary siting
Bibliographic record
Abstract
This study examined an on-going case study of communities that have been involved in the Nuclear Waste Management Organization‟s nuclear facility siting process. Interviews were conducted to examine whether communities no longer participating had higher perceptions of risk relative to communities that are still participating. In addition, this study examined the influence of other factors on communities to stay in the process or stop participating. Moreover, this study evaluated whether the siting process is consistent with the siting principles of a cooperative model. Results showed that eliminated communities had slightly higher risk perceptions compared to communities that are still participating. On the other hand, opted out communities had lower risk perceptions. It also showed that perceived potential benefits are the main factor controlling the communities‟ decisions at this stage. In addition, the siting process is not perfectly consistent with, but similar to a collaborative planning model at this stage.
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How this classification was reachedexpand
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".