Bibliographic record
Abstract
Foreword (Ian McPhee, Auditor-General for Australia) Preface Part I: Introduction and Context 1. Public Accountability: The role of the Auditor General in Legislative oversight (Zahirul Hoque and Thiru Thiagarajah) 2. Partnering with the Auditor-General's Office to Improve the Effectiveness of a Public Accounts Committee: An Auditor-General's perspective (Des Pearson) 3. Government Accountability in Sri Lanka: The roles of parliamentary oversight committees and Auditor General's office (Zahirul Hoque and Ethugalage Anura Gotabaya Ananda) 4. Parliamentarians' Relations with the Auditor General of Canada during Sheila Fraser's Mandate (2001-2011) (Danielle Morin) 5. Danish Public Sector Performance Audit: An SAI and PAC Tango (Peter Skaerbaek and Mark Christensen) Part II: Public Accounts Committees in Europe 6. The Public Accounts Committee of the House of Commons (Anthony Staddon) 7. In the Absence of a Public Accounts Committee: The Swedish experience (Louise Bringselius) Part III: Public Accounts Committees in Australia and the Pacific 8. Pragmatism, Black Letter Law and Australian Public Accounts Committees (David Gilchrist and Kylie Coulson) 9. Making a Public Accounts Committee Effective: A Chair's perspective from the state of New South Wales, Australia (Jonathan O'Dea) 10. Public Accounts Committees in the Pacific - A PEFA Perspective (Kylie Coulson and David Gilchrist) Part IV: Public Accounts Committees in Asian Regions 11. The Development of Public Accounts Committees of Bangladesh's Parliament: An overview (Sajjad H. Khan and Zahirul Hoque) 12. The Role of the Public Accounts Committee in Enhancing Government Accountability in Malaysia (Zakiah Saleh and Haslida Abu Hasan) 13. Responses to Public Accounts Committee of India: A textual analysis (Bikram Chatterjee, Alistair Brown and Victoria Wise) 14. Promoting Public Sector Accountability in Indonesia: An historical overview (Bambang Setiono and Chandra Ery Prasetyo) 15. The Public Accounts Committees in Thailand: A short note (Prapaipim Sutheewasinnon and Supot Saikaew) Part V: Public Accounts Committees in African Regions 16. Evolution and Effectiveness of the Kenyan Public Accounts Committee (Robert Ochoki Nyamori and Bosire Nyamori) 17. Strengthening PACs in Small Parliaments: Perspectives from the Caribbean (Anthony Staddon)
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.075 | 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".