Institutional Policy Coherence: The Case of Swiss Transparency Act
Bibliographic record
Abstract
Policy coherence has been studied primarily under the scope of several public policies. However, few studies have been made on the coherence between institutional and public policies. This article addresses policy coherence as such. Based on a model of the hierarchy of institutions developed by Knoepfel et al. (2006), we examine the case of the Swiss Law on transparency (LTrans). Knoepfel et al.’s model suggests that there is a hierarchy of normative institutions, where each level can have positive or negative effects upon a lower level. This model places institutional policies at a higher level than public policies, suggesting that tensions between institutional and public policies can impede the implementation of the latter. This can result in either a public policy killer or an institutional policy killer situation. Our study of the LTrans shows that one can observe constant tensions between institutional elements of LTrans and the act itself. However these tensions resulted in an equilibrium instead of either a public policy killer situation or an institutional policy killer.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".