Bibliographic record
Abstract
The competition policy pursued by the European Commission has a direct impact on the daily life of the citizens of the European Union. The reduction of telephone charges, wider access to air transport and the possibility of buying a car in the EU country in which prices are lowest are tangible results. Other, less visible, areas of Community competition policy also produce positive effects for the public. For example, merger control ensures a diversity of mass-market consumer goods and low prices for the final consumer. Likewise, by contributing to economic and social cohesion, the monitoring of state aid helps to promote viable and durable jobs throughout the Union. Whether they be consumers, savers, users of public services, employees or taxpayers, the Union's citizens enjoy the fruits of competition policy in the various aspects of their everyday life.
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 | 0.011 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.015 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".