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Record W2262101639 · doi:10.13140/rg.2.1.2878.0967

Opportunity, Risk, and Public Acceptability: The Question of Shale Gas Exploitation in Québec

2014· article· en· W2262101639 on OpenAlexaboutno aff
Michael Lerner

Bibliographic record

VenueSSRN Electronic Journal · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsShale gasHydraulic fracturingGovernment (linguistics)Resource (disambiguation)Oil shaleBusinessPolitical scienceCorporate governancePublic consultationPublic policyEnvironmental planningNatural resource economicsPublic administrationEconomicsGeographyEngineeringFinancePetroleum engineeringWaste managementLaw

Abstract

fetched live from OpenAlex

The Canadian province of Quebec has the largest reserves of shale gas in Eastern Canada, but Quebeckers are in the midst of a heated debate over the desirability of exploiting this resource. At issue is the controversial technique of hydraulic fracturing, or “fracking.” The provincial government has decided to proceed cautiously. In 2011, Quebec instituted a temporary moratorium, still in effect, on shale gas development in order to conduct consultations with experts and members of the public that has continued to present day. Recently, the government released the results of the experts’ report, the Strategic Environmental Evaluation. This paper highlights the report’s key findings about the potential economic benefits, environmental risks, and public acceptability of shale gas development. Quebec’s balanced approach to the complex, technical issue of shale gas development represents a deliberative approach to governance that emphasizes extensive public engagement.

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)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.915

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0140.013
Scholarly communication0.0120.003
Open science0.0010.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.008
GPT teacher head0.218
Teacher spread0.210 · 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 designQualitative
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

Citations3
Published2014
Admission routes1
Has abstractyes

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