Analyzing national policy styles empirically using the Sustainable Governance Indicators (SGI): insights into long‐term patterns of policy‐making
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The concept of national policy styles differs between states in respect of whether their governments react to policy changes in an anticipatory or reactive fashion and whether they seek to achieve consensus with societal actors or impose decisions on them. To date, this conceptualization has been applied to a limited number of states and produced only a small set of case studies due to the absence of large‐n data. We assess whether the dimensions on strategic planning and public consultation of the Bertelsmann Sustainable Governance Indicators (SGI) provide conceptually sound and empirically insightful indicators of national policy styles. Our explorative analysis reveals that the SGI are useful for operationalizing the concept of national policy styles and could advance the debate on it. Our analysis shows that differences exist between countries in terms of their policy styles, and that the policy styles remained stable in most countries between 2014 and 2020.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.012 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it