Bibliographic record
Abstract
The Great East Japan Earthquake was a compound of the earthquake, the tsunami,and the accident at the Tokyo Electric Power Company Fukushima Daiichi Nuclear PowerPlant. It has been the greatest national crisis for Japan since her defeat in World War II. Theaccident at the nuclear power plant will take a long term to resolve.The personal suffering and material damage cost due to the earthquake and tsunamiwere on an unprecedented scale, as natural disasters in modern times. The number of deadand missing persons exceeds twenty thousand, and the cost of damage to stock is presumedto amount to $211.3 billion. It is expected that the damage due to the accident at the nuclearpower plant, which has not been settled, will be an immense amount.Restoration and revival demand is expected to have the effect of pushing up theeconomic growth rate even though the Japanese economy was depressed in the fi rst and thesecond quarter of 2011. The trend in the economy will depend on the boosting effect of therevival demand, as well as the effect on business of the power supply shortage and a risein electricity charges. In particular, developing an energy policy which balances effi ciency,safety, and the environment is a pressing issue.The Great East Japan Earthquake is the greatest challenge for the economy in postwarJapan, and her economy will be determined by the way the country fi ghts back againstthis challenge. We should assume that this is the turning point for the construction of a newJapanese economy.
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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".