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Record W4308887929 · doi:10.1080/11926422.2022.2120508

Canada’s oil sands in a carbon-constrained world

2022· article· en· W4308887929 on OpenAlexaffabout
Andrew Leach

Bibliographic record

VenueCanadian Foreign Policy Journal · 2022
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOil sandsClimate changeNatural resource economicsContext (archaeology)CommitPetroleum industryPeak oilBusinessEnvironmental protectionEconomyEconomicsEnvironmental scienceGeographyEcologyEnvironmental engineering

Abstract

fetched live from OpenAlex

The oil sands have dominated Canada's domestic energy conversations for most of the last 50 years. More recently, the resource has become an important factor in Canada's foreign relations, in particular with respect to Canada's commitments on climate change. Environmental concerns are not new to the oil sands, with endangered species impacts and tailings pond mitigation presenting pressing domestic concerns. This paper argues that climate change presents a unique challenge, even as prices for oil rise dramatically. Domestic action threatens to increase the cost of production and to erode cost-effective access to markets, and policy uncertainty has made investments more challenging. More importantly, global action will change the market for oil itself and shape the willingness of investors to commit to the oil sands. This paper examines the state of the oil sands industry in the context of Canadian and global commitments to action on climate change and the potential for a global energy transition. The paper concludes with a discussion of potential solutions and pitfalls for Canada's oil sands in a carbon-constrained world.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.899
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.240
Teacher spread0.229 · 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

Citations6
Published2022
Admission routes2
Has abstractyes

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