Uncertainty confounds justice: the offshore wind ‘Devil they don't know’ in the Northeast United States
Why this work is in the frame
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Bibliographic record
Abstract
Renewable energy deployment has faced setbacks in part due to political pushback and social opposition. Recent research has focused on the justice dimensions of renewable energy, including fair participatory processes and the equitable distribution of benefits and burdens. Our study broadens this justice lens by focusing on how uncertainty affects perceptions of justice and risk, using offshore wind as a case study. We conducted 37 semi-structured interviews with community members, government officials, fishers, and waterfront workers in the Northeast United States. Our thematic analysis revealed eight themes, which are analyzed within the context of two social science frameworks: energy justice and the social amplification of risk framework (SARF). We found that decision-making processes and information dissemination mechanisms exacerbated participants’ uncertainty about offshore wind, leading to the amplification of risks and the amplification and attenuation of benefits, and perceptions of procedural and distributive injustice. Our discussion outlines a novel framework that integrates SARF and energy justice and explores the implications of uncertainty confounding justice, including suggestions for offshore wind communication and engagement, as well as a call for social science research to give heightened attention to the relationship between risk, uncertainty, and justice.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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