Autonomy and regulation : coping with agencies in the modern state
Bibliographic record
Abstract
Contents: PART I: INTRODUCTION Introduction Tom Christensen and Per Laegreid 1. Agencification and Regulatory Reforms Tom Christensen and Per Laegreid PART II: DEPOLITICISATION, ACCOUNTABILITY, ARENA SHIFTING AND SCIENTIZATION 2. Depoliticization, Democracy and Arena Shifting Matthew Flinders and Jim Buller 3. Institutional Transformation? The Scientization of Central Banking as a Case Study Martin Marcussen 4. Accountability and Coordination with Independent Foundations: A Canadian Case of Autonomization Peter Aucoin PART III: REASSERTION OF THE CENTRE 5. Theoretical Faith and Practical Works: De-Autonomizing and Joining-Up in the New Zealand State Sector Robert Gregory 6. The Reassertion of the Centre in a First Generation NPM System John Halligan 7. The Tensions of Political Control and Administrative Autonomy: From NPM to a Reconstituted Westminster Model David Richards and Martin Smith PART IV: AGENCIES: AUTONOMY, COORDINATION AND CONTROL 8. Delegation and Specialization in Regulatory Administration: A Comparative Analysis of Denmark, Sweden and the Netherlands Jorgen Gronnegaard Christensen and Kutsal Yesilkagit 9. Autonomy and Control in the Norwegian Civil Service: Does Agency Form Matter? Per Laegreid, Paul G. Roness and Kristin Rubecksen 10. Accountability and Accountability Arrangements in Public Agencies Bram Verschuere, Koen Verhoest, Falke Meyers and B. Guy Peters PART V: REGULATION BY AND INSIDE THE STATE 11. Discipline and Punish - or Trust? Contrasting Bases for Performance Management in Executive Agencies Christopher Pollitt 12. The Dynamics of Regulatory Reform Hanne Foss Hansen and Lene Holm Pedersen PART VI: CONCLUSION AND REFLECTIONS 13. Rebalancing the State: Reregulation and the Reassertion of the Centre Tom Christensen and Per Laegreid 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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.029 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".