Bibliographic record
Abstract
In 2006 I had the honour of giving the Fifth Braibant Lecture for the International Institute of Administrative Sciences. That discussion identified a need to rethink public administration. In reality, this is only a small part of the rethinking needed to prepare government and society for the challenges of the twenty-first century. There is a need to rethink the architecture and functioning of the social, economic and political state; for instance, to critically examine the assumption that innovation, productivity, employment and income growth work synergistically together. A clear-eyed diagnostic of the benefits of global trade and the costs of local dislocation is long overdue if government is to mitigate its impact for the most vulnerable in society and alleviate public fears about the future. There is also a need to articulate in contemporary terms what conditions contribute to the governance of open, pluralistic and democratic societies. Responding to challenging emerging trends will require reconciling in new ways individual interests with ambitious collective aspirations, rediscovering the irreplaceable contribution of the state and articulating a concept of that state adapted to serving in the twenty-first century. This is neither an overbearing nor a minimalist state but one with sufficient confidence in its role to serve the collective interest. This article is an invitation to rethink the modern state, reframe our expectations for a well-performing society and economy, and reinvent in contemporary terms what it means to be part of a modern, liberal, pluralistic and democratic society.
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 | 0.011 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.077 |
| Scholarly communication | 0.020 | 0.019 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.009 | 0.015 |
| 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".