Bibliographic record
Abstract
Abstract The cross‐border financial crisis that began in the United States in the summer of 2007 tested a 30‐year experiment in international integration. In the background were expanding macroeconomic imbalances that leading states had neglected to address. Spawned by imprudence and regulatory failures, the crisis soon deepened and the collaborative impulse that might have prompted earlier and more fundamental macro‐policy action became focused on emergency management. Ad hoc policy co‐ordination ensued as liquidity was injected into turbulent markets and troubled financial intermediaries were recapitalized or reorganized. The collective performance was inelegant, not least inside the European Union. The crisis shed a harsh spotlight on the weak fiscal foundations of the Union and on the now‐pressing need for collaborative adjustments in national macroeconomic policies. Since overt political innovation on such matters remains difficult, both within Europe and globally, the crisis underlined the crucial importance of much better collaborative instruments for the oversight and stabilization of integrating financial markets.
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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.022 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".