The Fog of Integration: Reassessing the Role of Economic Interests in European Integration
Bibliographic record
Abstract
The main theories of European economic integration argue that private economic interests provide the impetus and pressures for integration to move forward. Public policy analyses of the European Union's legislative process, however, show that intense lobbying by such interests can prevent legislative proposals from being adopted, even if economic interests were initially in favour of supranational legislation. How do we explain this apparent contradiction? The answer is that economic interests initially face great uncertainty as to the precise costs and benefits of integrating a particular policy area; only once the ‘fog of integration’ lifts—as a result of concrete legislative proposals being tabled by the Commission—are economic interests able to calculate these costs and benefits and, consequently, decide whether to lobby for or against the proposal. To provide a first-run validation of the argument, the article examines the cases of the Software Patent and Takeover directives.
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 | 0.027 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.011 | 0.067 |
| Scholarly communication | 0.024 | 0.028 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.013 | 0.010 |
| Insufficient payload (model declined to judge) | 0.002 | 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".