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Record W2888995886 · doi:10.4324/9781315637280

Governing Shale Gas

2018· book· en· W2888995886 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsShale gasPetroleum engineeringOil shaleGeologyEnvironmental sciencePaleontology

Abstract

fetched live from OpenAlex

Shale energy development is an issue of global importance. The number of reserves globally, and their potential economic return, have increased dramatically in the past decade. Questions abound, however, about the appropriate governance systems to manage the risks of unconventional oil and gas development and the ability for citizens to engage and participate in decisions regarding these systems. Stakeholder participation is essential for the social and political legitimacy of energy extraction and production, what the industry calls a 'social license' to operate. This book attempts to bring together critical themes inherent in the energy governance literature and illustrate them through cases in multiple countries, including the US, the UK, Canada, South Africa, Germany and Poland. These themes include how multiple actors and institutions – industry, governments and regulatory bodies at all scales, communities, opposition movements, and individual landowners – have roles in developing, contesting, monitoring, and enforcing practices and regulations within unconventional oil and gas development. Overall, the book proposes a systemic, participatory, community-led approach required to achieve a form of legitimacy that allows communities to derive social priorities by a process of community visioning. This book will be of great relevance to scholars and policy-makers with an interest in shale gas development, and energy policy and governance.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.463
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0140.018

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 head0.013
GPT teacher head0.228
Teacher spread0.215 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations7
Published2018
Admission routes1
Has abstractyes

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