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Record W3090108952 · doi:10.1111/ropr.12401

Problem Uncertainty, Institutional Insularity, and Modes of Learning in Canadian Provincial Hydraulic Fracturing Regulation

2020· article· en· W3090108952 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueReview of Policy Research · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsUniversity of FrederictonUniversity of New Brunswick
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHydraulic fracturingSalience (neuroscience)PoliticsNova scotiaPolicy learningCommissionPolitical scienceUncertaintyLegitimacyPublic administrationSociologyPolitical economyLawEngineeringPsychology

Abstract

fetched live from OpenAlex

Abstract This study uses policy learning frameworks to explain variation in processes of hydraulic fracturing regulatory development in Canadian provinces. Using a cross‐case comparison of British Columbia and Nova Scotia, the article demonstrates that differences in problem uncertainty and institutional insularity in each province determined modes of technical, social, and political learning in each province. In British Columbia elected officials framed LNG as a safe, clean energy source generating economic benefits. These frames made it difficult for anti‐fracking advocates to increase the salience of environmental risks and scientific uncertainty. Low problem uncertainty and high institutional insularity fostered processes of technical learning within the BC Oil and Gas Commission focused on single‐issue regulations. In Nova Scotia, an external review provided an ad hoc institutional venue through which environmental advocates, residents, and experts could increase the salience of scientific uncertainty and dread environmental risks. These conditions fostered collective processes of social learning among anti‐fracking advocates and political learning among elected officials, resulting in a ban.

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.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score0.783

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.095
GPT teacher head0.433
Teacher spread0.338 · 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