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Record W6980593684

CLE Working Paper No.1/2023--Driving Global Heating to 1.7° and Above: The New Canada Energy Future 2023 Report and Canada's Projected Oil Production to 2050

2023· article· en· W6980593684 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical, Literary, and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsProduction (economics)LimitingPeak oilOil productionGlobal warmingFossil fuelClimate changeEnergy (signal processing)
DOInot available

Abstract

fetched live from OpenAlex

The Canada Energy Regulator on June 20, 2023, released its new report Canada’s Energy Future 2023. For the first time the Federal Government’s energy regulator has directly addressed whether the currently projected growth of oil production in Canada to 2040 and 2050 is compatible with keeping increased warming to 1.5°C. The regulator’s analysis is based on three scenarios. Only the CER’s first scenario, the “Global Net-zero Scenario” (stated to be based on the International Energy Agency’s (IEA) “Net-Zero by 2050 Scenario”), is aligned with limiting warming to 1.5°C. That would require a very dramatic reduction in Canada’s existing oil production level which, according to the CER, is currently projected to reach 5.6 million bpd by 2026. Under the Global Net-zero Scenario, starting after 2030 Canada’s oil production must decline sharply to 2.8 million bpd by 2040 and fall to 1.2 million bpd by 2050. The CER’s second scenario, the “Canada Net-zero Scenario”, projects much higher levels of oil and gas production through to 2040 and beyond. The CER acknowledges that its second scenario aligns with warming of 1.7°C. This paper identifies the un-examined assumptions and climate implications that underlie the second scenario, which has been given the comforting and eco-friendly name (“Canada Net-zero”) and is presented by the CER as a plausible and acceptable alternative pathway. I argue that in this case, which involves the most complex expert evidence, policy decisions must be informed by an independent public inquiry process, not by discussions behind the “closed doors” of the CER.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.205
Teacher spread0.194 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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