Bibliographic record
Abstract
This ambitious and highly informative volume is premised on both the seismic shift in the perceived developmental role of local government across the globe, and the challenges that local governments will face as their key role in achieving the post-2015 sustainable development goals is increasingly being recognised within the global policy fora. New Century Local Government brings together an impressively wide geographic spread of country case studies from across the four regions of the Commonwealth, and pulls together work by leading scholars of local government who are all members of the Commonwealth Local Government Research Advisory Group (CLGF-RAG). It provides a plethora of detailed country case studies arranged around three themes: decentralisation in the Caribbean, Pakistan and England, local government finance and local economic development in India, South Africa and Tanzania, and new approaches to governance in Canada, Australia and New Zealand. Not only do the papers provide detailed accounts of the changes in policy and practice within their focus country cases – but many of them, notably the papers by Brown, Reid, McKinlay and Sansom include a comparative perspective with developments from Commonwealth countries in other regions, which is one of the key strengths of the volume. It is also the raison d’être of comparative work across the countries of the Commonwealth, given the shared legal and administrative histories and the dominance of English as the academic and often administrative lingua franca. It would have been great to see more of the cross-regional and cross-country lessons being drawn out from across the contributions in a final concluding chapter, but the editors leave this to the reader – possibly to ensure they read the volume in full.
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.015 | 0.030 |
| Scholarly communication | 0.022 | 0.016 |
| Open science | 0.003 | 0.020 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 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".