Bibliographic record
Abstract
I will give you the speech regarding “The diversification of energy source in the new era”. I teach natural resource & energy and industrial organization in Wako University. Both lectures are deeply related to the energy industry. In the present international oil market situations, WTI crude oil prices reached to 50US/bbl in September 2004 and 55US/bbl on October 22 2004, making historical record. The reason is divided to two factors. One is supply side factor which means Middle East unstable situations. Second is demand side factor which is the rapid growth of oil consumption in United States and China. Especially, China's oil consumption made the historical record and became the second largest oil consuming country.However, Japan is still the second largest country in GDP base and has great responsibility to international oil situations. Therefore, we Japanese have to consider the diversification of energy. The diversification of energy includes two factors. One means the utilization of fossil fuel other than conventional oil such as natural gas, Canadian oil sand, methan hydrate and gas to liquid. Second means the diversification of areas such as oil and gas fields of East Siberia, Sakhalin and Azelbaijan. In conclusion, the Japanese contribution regarding the diversification of energy is the improvement of energy security in Japan and Asian countries such as China and India which have carried out the remarkable economic growth using more and more conventional oil.
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 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".