The MPA/MPP in the Anglo-democracies: Australia, Canada, New Zealand, the United Kingdom, and the United States
Bibliographic record
Abstract
Abstract Should one expect convergence among MPA/MPP programs around the world, and in particularly among programs in the “Anglo-sphere” or among the Anglo-democracies, defined here as Australia, New Zealand, Canada, the United Kingdom, and the United States. For reasons of shared history and language, one might expect convergence, but there are counter-arguments as well that note, for example, the rich diversity among American programs alone. The paper analyzes 99 programs drawn from among these countries to find an answer. The analysis is wider in scope and more granular than anything that has been done to date, with data that allow comparisons of: (1) subject matter emphasis between policy and management, (2) the amount of required quantitative content, and (3) program length (number of standardized courses required to graduate). After illustrating a standardized metric of comparison we show that the convergence hypothesis cannot be sustained. Our conclusion entertains several conjectures about why this might be the case.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".