Crude Oil Is Not Fungible, Where It Comes from Does Matter, and Global Markets Are More Fragmented Than Many Think
Bibliographic record
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".