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Record W2805777425 · doi:10.3917/set.019.0014

L’accès aux ressources énergétiques au Québec : entre soutien et régulation publique du gaz de schiste, un arbitrage éclaté

2016· article· fr· W2805777425 on OpenAlexaffabout
Marie-José Fortin, Yann Fournis, D. Royer

Bibliographic record

VenueSciences Eaux & Territoires · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsPolitical scienceHumanitiesChemistryPhilosophy

Abstract

fetched live from OpenAlex

Resume La course à l’énergie est bien présente dans tous les pays. Toutefois, plusieurs facteurs conditionnent l’accès et l’exploitation des ressources. Outre les cours fluctuants du marché mondial, l’action gouvernementale est aussi reconnue comme influençant le dynamisme du secteur énergétique. À partir de l'exemple québécois de l'exploitation du gaz de schiste, cet article nous apporte des éléments de compréhension sur la capacité des instruments publics à réguler un secteur énergétique naissant. Il nous éclaire notamment sur la régulation foncière agricole qui apparaît ici peu déterminante pour contenir les demandes de l’industrie.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.285

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.000

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 head0.019
GPT teacher head0.278
Teacher spread0.259 · 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

Citations1
Published2016
Admission routes2
Has abstractyes

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