Bibliographic record
Abstract
The global geography of is in the midst of a transformation, with the Saudi-Caspian-Siberia-Canada Axis poised to drive the energy of geopoliticsduring the twenty- first century. The game of old will become the and game-or, more likely, the gas and oil game . By seizing this opportunity, it may be possible to usher in a new era of market-driven innovation in alternative energy, conservation, sustainable development and international cooperation. More than just secure supplies, the meaning of energy security now embraces political, environmental, infrastructure and even terrorism concerns, as well as sustainable development and climate change. As the world enters a new era, the United States must take the lead. Any effective solution will have to reform demand as well as boosting supply. We need a series of technologies for a variety of markets on both the supply and the demand ends in order to meet social and economic needs in the process of achieving broader goals. Developing and developed nations alike must first of all come to a consensus on the need for new technology. They have to address the critical issues through some form of international cooperation and create the necessary policy incentives for change. On the new playing field, policy will set the boundaries, regulation will create the rules, government authorities will serve as the referees, and the market will determine prices, as well as the winners and losers in the game.
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 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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.012 | 0.020 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.012 | 0.007 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".