Bibliographic record
Abstract
The European Council proposes to the European Parliament that Jean-Claude Juncker become president of the European Commission. Aiming to get the inflation rate in the euro area back to the 2 percent threshold, the ECB introduces, for the first time in its history, negative interest rates for ECB deposits by commercial banks as well as other measures to improve liquidity. The political conflict between Russia and Ukraine threatens Europe's gas supply. Against a background of further military escalation between the two countries, the EU and Ukraine sign an association agreement which, i.a., provides for the almost complete waiver of customs duties as well as close cooperation in the energy sector. – The decision to have owners of secondary loans, which should be guaranteed by the province of Carinthia, chip in on the cost of the deconstruction of Hypo Alpe-Adria-Bank AG results in the downrating of some banks. The European Council closes the deficit proceedings against Austria. Delayed by the parliamentary elections held in the autumn of 2013, the Federal Finances Act for 2014 and 2015 is passed by the parliament only in May 2014.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.322 | 0.378 |
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".