Policy Analytical Capacity in Changing Governance Contexts: A Structural Equation Model (SEM) Study of Contemporary Canadian Policy Work
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 Governments face many challenges in maintaining effective policymaking capacity as their governance activities alter and change. The emergence of a gap between government aspirations and street-level conditions for policy workers can lead to an increased likelihood of poor policy outcomes. Maintaining strong policy capacity in such public services is a critical factor in avoiding various kinds of policy failures. Very little large-scale empirical research has been dedicated to the study of contemporary policy work, however, making it difficult to evaluate competing claims about the impact of changing conditions on practices of policy analysis. Using data derived from three large-scale surveys of Canadian policy analysts conducted during 2007 to 2008, this article develops and tests several key hypotheses about contemporary policy work and its relationship to policy analytical capacity.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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