Public Administration after "New Public Management"
Bibliographic record
Abstract
Public administration has entered a new age. In the 1980s, "less" government was the prevailing idea; in the 1990s and early 21st century, "New Public Management" was the dominant theme. Today, public administration is moving in new directions. Reforms are focusing on the quality of services for citizens and businesses and on the efficiency of administration (the "back office" of government). The OECD is studying these new trends in a multi-annual, cross-country project called "Value for Money in Government". This is the first report in a new OECD series on the topic. The book examines four themes in nine OECD countries: the development of shared service centres, the steering and control of agencies, automatic productivity cuts, and spending review procedures. In addition, it contains a quantitative analysis of the size of employment in central government. The countries studied are Australia, Canada, Denmark, Finland, Ireland, the Netherlands, New Zealand, Sweden and the United Kingdom. The book pays particular attention to the case of the Netherlands, the country that first proposed an OECD study on value for money in government.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
OECD study of public administration reform after New Public Management; government management, not the research system.
This report analyzes public-administration reforms rather than the research system.
OECD public-administration reform and value-for-money government; public management, not research policy as object.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.024 | 0.019 |
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".