Think tank traditions: policy research and the politics of ideas
Bibliographic record
Abstract
1. Introduction Think tanks, policy advice and governance - Diane Stone Part I The international dimension 2. Institutes of International Affairs in foreign policy making, opinion mobilisation and unofficial diplomacy - Inderjeet Parmar 3. Think tanks beyond nation states - Diane Stone 4. European Union think tanks: Generating ideas, analysis and debate - Heidi Ullrich Part II European think tank traditions 5. Think tanks in Germany - Martin Thunert 6. Italy: Think tanks and the political system - Sonia Lucarelli and Claudio M. Radaelli 7. French think tanks in comparative perspective - Catherine Fieschi and John Gaffney 8. Think tanks, post communism and democracy in Russia, Central and Eastern Europe - Mark Sandle Part III. Think tanks in democratic development and economic transition 9. The Chinese tradition of policy research institutes - Ming Chen Shai with Diane Stone 10. Think tanks in Japan: A new alternative - Makiko Ueno 11. Think tanks and Malaysian development - Su Ming Khoo 12. Think tanks in developing countries: Lessons from Argentina - Miguel Braun, Antonio Cicioni and Nicholas J. Durote Part IV. The Anglo-American tradition 13. The business of ideas: A look at the think tank industry in the United States - Don Abelson 14. A 'hollowed out' tradition? British think tanks in the twenty-first century - Andrew Denham and Mark Garnett 15. Australian think tanks - Ian Marsh and Diane Stone 16. Three decades of Canadian think tanks: Evolving institutions, conditions and strategies - Evert A. Lundqvist Afterword Soft power, global agendas - William Wallace -- .
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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 | 0.019 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.012 |
| Science and technology studies | 0.008 | 0.030 |
| Scholarly communication | 0.030 | 0.018 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.010 | 0.014 |
| Insufficient payload (model declined to judge) | 0.043 | 0.016 |
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".