Policy processes sans frontières: interactions in transnational governance of global health
Bibliographic record
Abstract
National policy on global health (NPGH) arenas are multisectoral governing arrangements for cooperation between health, development, and foreign affairs sectors in government policy for global health governance. To explore the relationship between national and global processes for governing global health, this paper asks: in what forms of interaction between NPGH arenas and global health governance are learning and networking processes present? In a multiple case study of Norwegian and Swiss NPGH arenas, we collected data on intersectoral policy processes from semi-structured interviews with 33 informants in 2014-2015. Adapting Real-Dato's framework, we analyzed each case separately, producing monographs for comparing NPGH arenas. Analyzing both NPGH arenas for relational structures linking external resources to internal policy arena processes, we found five zones of interactions - including institutions, transgovernmental clubs, and connective forms. These interactions circulate ideas and soften arenas' boundaries. We argue that NPGH is characteristic of transnational governance of global health.
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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 | 0.019 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.009 | 0.040 |
| Scholarly communication | 0.013 | 0.016 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| 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".