Understanding Co-Production as a Policy Tool: Integrating New Public Governance and Comparative Policy Theory
Bibliographic record
Abstract
Co-production is an area of policy making in many countries which has received little treatment in the policy studies literature. It has been studied in the field of public administration and public management however, albeit mainly in the case of education-related activities in Scandinavian countries. Using the cases of co-production of support services for the disabled and the elderly in the little-studied programs found in Croatia and Thailand as illustrative examples, this article examines how the concept of co-production can be viewed as an example of the use of a new policy tool, bringing together the insights of both policy and management theory in order to understand its origins and evolution. The article highlights the importance of viewing co-production using an integrated lens if studies of co-production are to advance.
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 | 0.028 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.006 | 0.077 |
| Scholarly communication | 0.019 | 0.028 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".