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Record W3160819707

Regulating Energy Innovation: US Responses to Hydraulic Fracturing, Wastewater Injection and Induced Seismicity

2017· article· en· W3160819707 on OpenAlexaff
Fenner L. Stewart, Allan Ingelson

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Systems and Judicial Processes
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHydraulic fracturingInduced seismicityCorporate governanceState (computer science)BusinessEnvironmental planningEngineeringPolitical sciencePetroleum engineeringCivil engineeringEnvironmental scienceFinanceComputer science
DOInot available

Abstract

fetched live from OpenAlex

This article focuses on how hydraulic fracturing activities – including wastewater injection – generated, and are still generating, a spectrum of regulatory responses. These regulatory inconsistencies are due to many variables, including: differing opinions on how regulators ought to manage new technologies with unknown environmental impacts; the promise of economic benefit; how politically contested hydraulic fracturing is in the jurisdictions in question; and the fact that much is still unknown about the environmental impacts of hydraulic fracturing. Part I provides an overview of the emerging science on the connections between hydraulic fracturing, wastewater injection and induced seismicity. Part II maps the responses of U.S. state-level regulators to this issue. Part III provides a refresher of the environmental governance theories and practices that help administrative agencies cope with the risks, which energy systems have created, and which agencies are mandated to manage. Part IV evaluates the U.S. state-level responses using the introduced theories and practices. Finally, the conclusion provides some additional reflections.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.303
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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