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Record W2032301048 · doi:10.1016/j.egypro.2013.06.714

The Saskatchewan Environmental Code: A Provincial Approach for Managing GHGs Emissions

2013· article· en· W2032301048 on OpenAlexaffabout
José Cóndor, Malcolm Wilson

Bibliographic record

VenueEnergy Procedia · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsPetroleum Technology Research CentreAlberta Energy
Fundersnot available
KeywordsLegislationChristian ministryCode (set theory)Environmental lawEnvironmental impact assessmentGreenhouse gasEnvironmental planningBusinessComponent (thermodynamics)Environmental economicsEnvironmental resource managementComputer sciencePolitical scienceEnvironmental scienceEconomicsLaw

Abstract

fetched live from OpenAlex

This paper provides a broad description of the Saskatchewan Environmental Code (SEC), its purposes, and potential implications for the provincial energy and environmental sectors. We start with an introduction to the framework of the Saskatchewan Environmental Code, followed by a discussion of the Results-Based Regulations (RBR) and the differences between RBR and the more traditional Prescriptive-Based Regulations (PBR). Next, we summarize the 19 chapters grouped in the five divisions of the SEC and finish with a brief description of the public review and future tasks for the full development of the SEC. The new Saskatchewan Environmental Code is key component of the Ministry's move to a Results- Based Regulatory model which will enhance environmental protection while encouraging innovation. The new model represents a significant shift away from prescriptive legislation and regulations to a focus on holding proponents accountable for achieving desirable environmental outcomes.

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 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 score0.548
Threshold uncertainty score0.672

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.217
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 teacher head, 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

Citations2
Published2013
Admission routes2
Has abstractyes

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