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Record W2076022662 · doi:10.1080/10803920.2012.686726

Crude Oil Is Not Fungible, Where It Comes from Does Matter, and Global Markets Are More Fragmented Than Many Think

2012· article· en· W2076022662 on OpenAlexaboutno aff
Jonathan Chanis

Bibliographic record

VenueAmerican Foreign Policy Interests · 2012
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsPetroleumOligopolyCrude oilExaggerationPetroleum industryBusinessEconomicsCommerceInternational tradeIndustrial organizationMarket economyPetroleum engineering

Abstract

fetched live from OpenAlex

ABSTRACT In studying petroleum issues, some analysts tend to overestimate the role of markets in promoting U.S. energy security. In particular, these analysts assume that crude oil moves internationally as if it were traded in a “free market.” They often repeat phrases such as “oil always moves to the highest bidder,” or “oil is fungible and where it comes from does not matter.” But global petroleum markets are not “free.” They are severely constrained by many factors, including logistical limitations, increasingly non-interchangeable types of crude oil, and limitations on where companies can produce oil and to whom they can sell it. Most important, the markets for petroleum are distorted by the practices of Saudi Arabia and the Organization for Petroleum Exporting Countries (OPEC). A misunderstanding of the above factors can lead to, among other misconceptions, an underestimation of the role of Canada in promoting U.S. energy security and an exaggeration of the ability of markets to protect consumer or U.S. national interests, both before and after supply disruptions. A more realistic understanding would recognize the imperfect hold markets have on global crude oil allocation and would stop confusing the theory of “free markets” with the reality of international politics and oligopoly.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.012
GPT teacher head0.286
Teacher spread0.274 · 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 designObservational
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
Published2012
Admission routes1
Has abstractyes

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