Bibliographic record
Abstract
Oil is a much sought after resource in the modern world economy. Until the previous decade, Middle East was thought to hold the maximum proven reserves of oil. This provided an incentive for western nations to maintain peace and stability in the region. However, discovery of new oil reserves in Brazil, Venezuela, Canada, Alaska and Russia, have challenged the status quo. Emerging Asian economies, namely India and China, will have to deal with an unstable supplier for one of the most important components in their energy portfolio.Given the situation, India is especially at risk as it imports almost 70% of its oil requirement, up to 65% of which originates from the Middle East. In a disruptive scenario of disturbance in the Middle East, India would find it difficult to meet its oil needs, jeopardizing its energy future. This paper analyzes India's energy consumption pattern, consumption of oil and oil products over the past four decades and the composition of India's oil import sources over the past five years. Finally, a model is proposed to secure India's energy future.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".