Cittadinanza, lavoro e diritti sociali nella crisi europea = Citizenship, work and social rights in the European crisis. WP C.S.D.L.E. “Massimo D’Antona”.INT – 100/2013
Bibliographic record
Abstract
This paper explores the limits and potentials of European citizenship as a transnational form of social integration, taking as comparison Marshall's classical analysis of the historical development of social rights in the context of the national Welfare State. It is submitted that this potential is currently frustrated by the prevailing negative-integration dimension in which the interplay between Union citizenship and national systems of Welfare State takes place. This negative dimension pervades the entire case law of the Court of Justice on Union citizenship, even becoming dominant – after the famous Viking and Laval judgements – in the ways in which the judges in Luxembourg have built, and limited, what in Marshall’s terms might be called the European collective dimension of “industrial citizenship”. The new architecture of the economic and monetary governance of the Union, based as it is on an unprecedented effort towards a creeping constitutionalisation of a neo-liberal politics of austerity and welfare retrenchment, is destined to strengthen the de-structuring pressures on the industrial-relation and social protection systems of the member States. The conclusions sum-up the main critical arguments and make some suggestions for an alternative path for re-politicising the social question in Europe.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".