Bibliographic record
Abstract
This volume, the third in the Canadian Centre for Management Development's series on Governance and Public Management, offers the reader an international perspective on some important challenges facing governance in this new century.It is no easy task to offer guidance on how to revitalize our public services in this new context, but some most authoritative authors from Canada, New Zealand, Sweden, the United Kingdom, and the United States drew on their expertise to provide well-informed and insightful analyses about important issues which politicians, public servants, and citizens will need to consider in seeking to ensure progress.As underlined by one of the peer reviewers, new insights are provided on a wide range of public sector issues: the role of the nation-state in governance, the role of political leadership in public service reform, new human resource management challenges, relations (or "bargains") between politicians and public servants, fundamental questions about performance measurement, challenges relating to information and communication technology in government, intergovernmental relations and citizen engagement, organization patterns, privatization, and accountability.A concluding chapter examines key questions which emerge from this attempt to look into the future with regard to the role of government, its future effectiveness, the instruments it will need, and more particularly the type of public service which will be needed in the emerging model of governance.Vll
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.374 | 0.176 |
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".