Financial, economic and moral crisis – vector of durable development
Bibliographic record
Abstract
The financial, monetary and banking crisis of 2008 started as a matter of crediting subpremiums in the United States only on the 2nd Quarter of the year and extended quickly in the 3rd Quarter in Western European and then in th e4th Quarter in the Center and Eastern Europe and even far away in Asia. The main ways of appearance are: lack of liquidity on the financial and banking market, as well as the important drop of the stocks values on the stock exchange market. There were a few resounding bankruptcies in the USA, two-three more important in the EU (showed below) that determined the Europeans to be more united as ever and to avoid thus such phenomena on the territory of the EU. The real cause of the crises repetition is in reality the defective individual and social EDUCATION. Hence, it is mandatory to change the way the citizens are educated during their entire life. Paper: http://ccefa.spiruharet.ro/materiale/dder.pdf
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".