Bibliographic record
Abstract
Contents: Preface 1. Introduction Shaun Goldfinch 2. The Influence of Economic Theories of Government Failure on Public Management Reform Brian Dollery 3. HRM in the Public Sector: Is It Enough? Marie-France Waxin and Robert Bateman 4. New Public Management and the Politics of Accountability Robert Gregory 5. Public-Value Seeking Leadership: Its Nature, Rationale and Development in the Context of Public Management Reform Joe Wallis and Linda McLoughlin 6. 'E-Government': Is it the Next Big Public Sector Trend? Robin Gauld 7. Dangerous Enthusiasms and Information Systems Development in the Public Sector Shaun Goldfinch 8. United Kingdom Kai Wegrich 9. New Zealand: Reforming a New Public Management Exemplar? Shaun Goldfinch 10. New Public Management in Australia Marian Simms 11. The Challenge of Renewing Governance in Canada Stephen Tomblin 12. The United States: The Political Context of Administrative Reform Bert Rockman and Thiemo Thiam 13. French Administrative Reform: Change and Resistance Glynn Jones and Alistair Cole 14. Senior Civil Servants and Bureaucratic Change in Belgium Guido Dierickx 15. Dynamic Conservatism: The Rise and Evolution of Public Management Reforms in the Netherlands Mirko Noordegraaf 16. Danish Public Management Reform before and after NPM Jorgen Christensen 17. Public Management Reform in Norway - Reluctance and Tensions Tom Christensen and Per Lagried 18. Public Management Reform in Hong Kong Anthony B. L. Cheung 19. Public Sector Management Reform in Japan Kiyoshi Yamamoto 20. Conclusion: Is There a Common Thread Joe Wallis
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.134 | 0.046 |
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".