Crossing boundaries in public management and policy : the international experience
Bibliographic record
Abstract
Part I: Introduction and the Fundamental Questions 1. Crossing Boundaries in Public Management and Policy: An Introduction (Janine O'Flynn) 2. Crossing Boundaries: The Fundamental Questions in Public Management and Policy (Janine O'Flynn) Part II: Solutions to Cross-Boundary Dilemmas? 3. The Cross-Organization Collaboration Solution?: Conditions, Roles and Dynamics in New Zealand (Elizabeth Eppel, Derek Gill, Miriam Lips and Bill Ryan) 4. The Boundary Spanning Solution?: Crossing Boundaries in the United States (Kelly LeRoux) 5. The Culture Solution?: Culture and Common Purpose in Australia (Fiona Buick) 6. The Structure Solution?: Public Sector Mergers in the United Kingdom (Carole Talbot and Colin Talbot) 7. The People and Structure Solution?: Collegial Administration in Norway (Dag Arne Christensen, Tom Christensen, Per Laegreid and Tor Midtbo) 8. The Performance Target Solution?: Cross-Cutting Public Service Agreements in the United Kingdom (Akash Paun and Kate Blatchford) 9. The Collaboration Solution?: Factors for Collaborative Success (Brian Head) 10. The Soft Power Solution?: Managing without Authority (Owen Hughes) 11. The Diagnostic Solution?: Gauging Readiness for Cross-Boundary Working (Deborah Blackman) 12. The Responsiveness Solution?: Embedding Horizontal Governance in Canada (Evert A. Lindquist) Part III: Cases of Crossing Boundaries in Public Management and Policy 13. Children's Services: The Impact of Service Integration in England (Carole Talbot) 14. Education and Employment: Stumbling across Boundaries in the Netherlands (Esther Klaster) 15. Health: Overcoming Service Delivery Gaps in Austria (Sanja Korac and Iris Saliterer) 16. Community Safety: Partnerships across Boundaries in England (Joyce Liddle and John Diamond) 17. Airport Enclaves: Bridging Boundary Tensions between Airports and Cities (Timothy Donnet and Robyn Keast) Part IV: Conclusion 17. Crossing Boundaries in Public Management and Policy: Conclusion and Future Issues (Janine O'Flynn, Deborah Blackman and John Halligan)
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.012 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".