Agenda‐Setting at the Energy‐Water Nexus: Constructing and Maintaining a Policy Monopoly in U.S. Hydraulic Fracturing Regulation
Bibliographic record
Abstract
Abstract Despite calls to increase federal oversight of hydraulic fracturing (HF), the U.S. Congress has maintained a regulatory system in which environmental regulatory authority is devolved to the states. We argue that this system is characterized by a long‐standing “policy monopoly”: a form of stability in policy agenda‐setting in which a specific manner of framing and regulating a policy issue becomes hegemonic. Integrating theories on agenda‐setting and environmental discourse analysis, we develop a nuanced conceptualization of policy monopoly that emphasizes the significance of regulatory history, public perceptions, industry–government relations, and environmental “storylines.” We evaluate how a policy monopoly in U.S. HF regulation has been constructed and maintained through a historical analysis of oil and gas regulation and a discourse analysis of eleven select congressional energy committee hearings. This research extends scholarship on agenda‐setting by better illuminating the importance of political economic and geographic factors shaping regulatory agendas and outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.048 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.010 | 0.043 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".