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Record W2786510277

Paris and Pipelines? Canada's Climate Policy Puzzle

2017· article· en· W2786510277 on OpenAlexaffabout
Jason MacLean

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversity of SaskatchewanUniversity of New Brunswick
Fundersnot available
KeywordsGreenhouse gasClimate changeSustainabilityGovernment (linguistics)DemocracyNormativePolitical scienceEmissions tradingPublic policyClimate change mitigationPipeline transportPublic administrationPolitical economyNatural resource economicsEconomicsLawPoliticsEnvironmental scienceEnvironmental engineering
DOInot available

Abstract

fetched live from OpenAlex

Can Canada build new oil pipelines and reduce its greenhouse gas (GHG) emissions pursuant to its international legal commitment under the Paris climate change agreement? Moreover, can Canada simultaneously promote oil sands production and sustainability? A great many otherwise reasonable Canadians – including academics, NGO and government policy analysts, media pundits, politicians, and members of the general public – insist we can. Paris versus pipelines, on this Panglossian view, is a false choice. This get-rich-and-save-the-environment-too view, however, is fatefully mistaken – the federal government’s own GHG emissions data leave absolutely no doubt about this. But it is mistaken in an interesting and instructive way: Only by excavating and exposing the normative foundations of this view will Canada be able to effectively chart a course towards net zero carbon emissions and sustainability. This article proceeds as follows. Part II examines Canada’s emerging climate change policies through the conceptual prism of Canada as a “carbon democracy.” Parts III and IV use the concept of “carbon democracy” to unpack and explain the contradictions of Canadian climate change policy vis-a-vis climate science and economics, respectively. Part V concludes by sketching out an alternative, democratic pathway for Canadian climate change and sustainability policy.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.873
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.283
Teacher spread0.275 · 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.

Study designTheoretical or conceptual
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

Citations5
Published2017
Admission routes2
Has abstractyes

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