RUSSIAN FEDERATION ENERGY POLICIES AND RISKS TO INTERNATIONAL JOINT VENTURES IN THE OIL AND GAS INDUSTRY
Bibliographic record
Abstract
Russia and other oil-rich nations are renegotiating production sharing agreements (PSAs) with stricter terms as well as phasing out these types of contracts as they turn more to the enhanced capabilities of their national oil companies (NOCs). In this paper NOCs are portrayed as aggressive competitors against international oil companies (IOCs). In this shifting landscape many Western oil companies are finding their traditional influence in the oil and gas industry (OGI) deteriorating as high energy prices have brought about renewed nationalism. As a result, many of the existing international joint ventures (IJVs) are experiencing additional business risks as Russia exploits its gas and oil resources to become an assertive energy superpower. The significance of the Kremlin changing the rules and becoming more obsessive with their resources and more bellicose with their entire upstream and downstream operations as it impacts upon IOCs is discussed in this exploratory paper.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".