“Modernizing Government”: Mapping Global Public Policy Networks
Bibliographic record
Abstract
Public sector reform is a key policy area, driven by global public policy networks. Research on these networks has been inductive, highlighting organizations like the Organisation for Economic Co-operation and Development (OECD). This article examines “virtual policy networks” (VPNs) on the Web. Using IssueCrawler, we conduct a hyperlink analysis that permits us to map seven VPNs. The first network mapped the hyperlinks of 91 organizations identified through inductive methods. The hypothesis that the virtual network would include all actors identified in the inductive approach was refuted. The other six networks focused on: market mechanisms, open government, performance, public employment, reform, and restructuring. Among the findings, the U.S. government is prominent in the first three, while international organizations dominate the others. VPN rankings show that the World Bank dominates the OECD. When the inductive research is blended with the VPN research, the OECD's prominence increases, and we see the importance of market mechanisms and reform VPNs as pillars of globalization.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.011 | 0.014 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.009 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".