Comparative problems of policing : interviews with nineteen police leaders from different nations
Bibliographic record
Abstract
Preface: Policing: A Never-Ending Story, Magistrat Maximilian Edelbacher, Federal Police of Austria Foreword: George Henry Millard, Sao Paulo State Police Academy, Brazil Appreciation: Darryl Plecas, University College of the Fraser Valley Introduction: Dilip Das and Otwin Marenin 1. Interview with Chief Commissioner Christine Nixon: Australia's First Female Police Chief 2. Interview with Mick Keelty, Commissioner, Australian Federal Police 3. Interview with Commissioner Giuliano Zaccardelli of the Royal Canadian Mounted Police 4. Interview with Lieutenant General Dhahi Khalfan Tamim Commander-in-Chief of the Dubai Police 5. Interview of Mr. P.C. Sharma, India Police Service (IPS), Director, Central Bureau of Investigation, New Delhi 6. Interview with Janis Gedusevs, Chief, Riga Municipal Police, Latvia 7. Interview with Vytautas Grigaravicius, Commissar-General, Lithuania National Police 8. Interview with Michel P.A.C. Baeten, District Commander, De Eilanden, The Rotterdam-Rijnmond Regional Police Department, The Netherlands 9. Interview with Jan Wiarda - Ploughing on from Friesland to Europe - The Netherlands 10. Interview with Mr. Olantunji Alapini Commissioner of Police, Nigeria Police Training College, Ikeja, Lagos 11. Interview with National Police Commissioner Ingelin Killengreen, Norway 12. Interview with Abdul Qadir Haye, Inspector General of Police (Retired), Pakistan 13. Interview with Chief Constable Willie Rae, Strathclyde Police, Scotland 14. Interview with John Abbott, recently retired Director General of National Criminal Intelligence Service (NCIS) of the United Kingdom 15. Challenges of Policing London: Conversation with the Metropolitan Police Commissioner, Sir John Stevens, United Kingdom 16. A Conversation with William J. Bratton, New York, USA 17. From a Justice Practitioner to an Academic Leader: A Conversation with Chancellor, Robert L. King, Albany, New York, USA 18. A Conversation with Patrick H. Lang: Reflections on His Justice Career, Washington DC, USA 19. Interview with Leonardo Enrique Diaz-Paruta, Commissioner General of Police, Caracas, Venezuela.
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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 | 0.009 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.023 | 0.007 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".