Progressive politics after the crash : governing from the left
Bibliographic record
Abstract
Preface - Ernst Stetter, Foundation for European Progressive Studies Introduction 1. Social democracy past and future: Its politics and paradigms - Peter Hall, Harvard University 2. The left's relationship with - Andrew Gamble, Cambridge University 3. A post-crisis centre-left: Progressive politics after an era of plenty - Alfred Gusenbauer and Ania Skrzypek, Next Left Part I: Growth, inequality and welfare 4. Is the West headed for a lost decade, and what can be done about it? - Jeffry Frieden, Harvard University 5. The financial crisis and the future of the Eurozone - Paul De Grauwe, London School of Economics 6. Pre-distribution: Rebuilding the organizational foundations of democratic - Jacob Hacker, Yale University 7. Towards a new politics of production and middle class economic security - Will Marshall, Progressive Policy Institute 8. What comes after pro-growth progressives? - Lane Kenworthy, University of Arizona 9. Recreating solidarity: Social citizenship and participation - Jane Jenson, University of Montreal 10. The emerging intergenerational conflict: Re-writing the social contract between generations - Bruno Palier, Sciences Po, Paris 11. Affordable social investment beyond the Eurozone's austerity reflex - Anton Hemerijck, University of Amsterdam 12. European aspirations: GDP and beyond - Tony Atkinson, Oxford University Part II Trust, politics and power 13. Crisis? What crisis? Explaining the electoral performance of social democracy - Pippa Norris, Harvard University 14. The political sociology of cosmopolitanism and communitarianism and its impact on present and future of social democracy - Wolfgang Merkel, WZB (Social Science Research Centre Berlin) 15. Communitarian appeals: lost or anew? Social democracy in the 21st century - Sheri Berman, Barnard College, Columbia University 16. Taking Europe to Its extremes? The politicization of European integration in Western Europe - Catherine DeVries, Oxford University 17. Immigration and the European left: Anti-migration populism, identity and community - Matthew Goodwin, University of Nottingham and Robert Ford, University of Manchester 18. The rise of alternative social movements - Craig Calhoun, London School of Economics 18. Political space in the era of post-democratic capitalism - Claus Offe, Hertie School of Governance, Berlin 19. Towards an assertive social democracy - Colin Crouch, University of Warwick
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.026 | 0.005 |
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".