European Union and New Regionalism: Regional Actors and Global Governance in a Post-Hegemonic Era
Bibliographic record
Abstract
Foreword: regionalism - a new paradigm?, George Howard Joffe Preface to the 2nd edition Introduction: globalization, new regionalism and the role of the European Union, Mario Telo. Part I Theoretical Perspectives: Regional blocs, world order and the new Medievalism, Andrew Gamble Political economy of new regionalism and world governance, Pier Carlo Padoan The cultural factor in the process of globalization/regionalization, Thomas Meyer Alternative models of regional cooperation? The limits of regional institutionalisation in East Asia, Richard Higgott Interregionalism and world order: the diverging EU and US models, Bjorn Hettne. Part II Comparative Analysis of Regional Groupings: Between trade regionalization and various paths towards deeper cooperation, Mario Telo European Union and NAFTA, Alberta M. Sbragia European Union and MERCOSUR, Alvaro Vasconcelos African regionalism and EU-African interregionalisn, Fred Soderbaum Comparison of European and Southeast Asian integration, Kjell A. Eliassen and Catherine Borve Arnesen. Part III European Union as a New Civilian Power in the Making?: The European Union and the challenges of the near abroad, Mario Telo European Union and Eastern Europe, Reimund Seidelmann EU and the Mediterranean: open regionalism or peripheral dependence?, George Howard Joffe Europe - super power or a Scandinavia of the world?, Goran Therborn. Part IV Reconsiderations: EU, regionalism, new multilateralism: 3 scenarios, Mario Telo Appendix: list of regional and interregional arrangements, Sebastian Santander Planispheres, Pablo Medina Lockhart Bibliography, Index.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".