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Record W2186547746 · doi:10.55016/ojs/sppp.v4i1.42370

Catching the Brass Ring: Oil Market Diversification Potential for Canada

2011· article· en· W2186547746 on OpenAlexaffabout
Michal C. Moore, Sam Flaim, David Hackett, Susan W. Grissom, Daria Crisan, Afshin Hornavar

Bibliographic record

VenueThe School of Public Policy Publications · 2011
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsCanadian Energy Research InstituteStillwater (Canada)University of Calgary
FundersU.S. Department of State
KeywordsRevenueDiversification (marketing strategy)Agricultural economicsChinaContext (archaeology)BusinessBarrel (horology)Crude oilMarket accessEconomicsNatural resource economicsInternational tradeEconomyFinanceGeographyAgricultureEngineering

Abstract

fetched live from OpenAlex

This paper examines the nature and structure of the Canadian oil export market in the context of world prices for heavy crude oil and the potential price differential available to Canadian producers gaining access to new overseas markets. Success in this arena will allow Canada to reap incredible economic benefits. For example, the near term benefits for increased access to Gulf Coast markets after mid-continent bottlenecks are removed, are significant, representing nearly 10$ US per barrel for Canadian producers. On the Pacific Coast, the world market is represented by growing capacity for heavy crude products in emerging Asian markets including Japan, Korea and China and existing heavy crude facilities in California and the west coast. Here, in the reference scenario for California and Asia the benefits are assumed to begin in 2020. The differential value range in California in 2020 is estimated at $7.20US per barrel and escalates to $8.77US by 2030. In Asia, the benefit range is estimated to grow from $11.15US per barrel in 2020 to $13.60US in 2030. Those higher prices for Canadian heavy oil would translate into significant increases in profits, jobs and government revenues. With better access and new pipeline capacity, oil producers will see more efficient access to international markets which can add up to $131 billion to Canada’s GDP between 2016 and 2030 in the reference scenario. This amounts to over $27 billion in federal, provincial and municipal tax receipts, along with an estimated 649,000 person-years of employment. Alberta will be the principal but not sole beneficiary from increased access to world market pricing. Most provinces and territories will realize fiscal and economic gains from the distribution and sale of products reflecting reduced costs and increased access to refineries for heavy oil. The key to this change is the elimination of current bottlenecks in transport and the expansion of a network of pipelines that can move Canadian crude oil to locations reflecting minimal discounts from world market prices. As this paper demonstrates with hard facts and figures, the rewards are too great to ignore.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.041
GPT teacher head0.283
Teacher spread0.242 · 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 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

Citations11
Published2011
Admission routes2
Has abstractyes

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