Bibliographic record
Abstract
InVikingandLaval, the European Court of Justice (ECJ) adjudicated the rights of labor and capital mobility under E.U. law. Both cases strengthen the single European market through economic liberalization to generate greater prosperity for all Europeans as part of the process of European economic and political integration. Labor and capital mobility create greater prosperity for all through more rational market exchanges. Free trade is good for goods and is even better for labor. A liberalized and fully mobilized labor market results in more productivity and greater wealth in the European polity, as well as interdependence, and thereby deeper integration resulting in greater understanding and less conflict. The decisions, wrongly criticized by some as “bad for workers” are justified by the fact that they will benefit workers in Eastern Europe, consumers in Western Europe, and the Community as a whole by deepening integration. A key challenge for the European Union is to economically anchor and deepen the political restructuring of Eastern Europe by enabling the natural labor and capital movements which an open marketplace generates. Europe does this not with the failed neo-liberal model which has ravaged the wealth of the United States and squandered it in illusory booms based on consumer borrowing and deficit spending to fund war for oil. Rather, Europe is developing a neo-corporatist social model. This article uses theVikingandLavalcases as examples of this development.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.022 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".