The Prospects of the European Banking Union and the Hellenic Banking Sector Challenges: A Preliminary Exercise
Bibliographic record
Abstract
Establishing a Banking Union was a rallying issue in the European Union the last years. In the December 2012 Summit it was decided to set up a Banking Union that will streamline and standardize procedures in the eurozone across banking system and prevent national debt crisis that affects the common currency. At least 200 large and multinational banks will be placed under a Single Supervisory authority controlled by the European Central Bank and if needed it will be empowered to monitor all 6000 banking in the European Union. The scope of this paper is to present briefly the progress towards the Banking Union agreement and to sketch a preliminary exercise program of the Hellenic Banks’ adaptation, rescheduling and recapitalization needs. Bank of Greece estimated that the amount of €50 billion earmarked under the Economic Adjustment Programme is appropriate to cover the Greek banking sector’s recapitalization and restructuring costs. Therefore, banks’ institutional and private shareholders will be required by July 2013 to cover a minimum of 10% of new common equity capital as to keep credit institutions privately run. Still, there is no agreed time schedule on banks’ recapitalization.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| 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".