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Record W2418654276 · doi:10.29173/alr464

Opportunities for Public Participation in the Regulation of Hydraulic Fracturing Operations in Alberta

2016· article· en· W2418654276 on OpenAlexaffvenueabout
Alastair R. Lucas, Heather Lilles

Bibliographic record

VenueAlberta Law Review · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHydraulic fracturingBusinessPetroleum engineeringGeology

Abstract

fetched live from OpenAlex

As the “anti-frack” movement gains momentum in society and the media, the oil and gas industry is faced with increasing demand for public participation and consultation in hydraulic fracturing operations. In Alberta, public participation has taken a number of forms, occurring during both the regulatory process and hydraulic fracturing operations themselves. This article analyzes the adequacy of these public participation opportunities by outlining the current opportunities for participation and the Alberta Court of Appeal’s rulings regarding the adequacy of notification and consultation. Ultimately, the article concludes that despite a number of new regulatory initiatives, opportunities for public participation in hydraulic fracturing operations have not increased. However, the article remains optimistic that changes can and should occur, increasing opportunities for public participation and improving the timing and quality of such consultation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.141
Threshold uncertainty score0.541

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0180.017
Scholarly communication0.0110.002
Open science0.0030.004
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.200
GPT teacher head0.327
Teacher spread0.127 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2016
Admission routes3
Has abstractyes

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