Public Managers in the Policy Process: More Evidence on the Missing Variable?
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
Questions have been posed about the lack of knowledge of the role public managers play in the policy process. In this study, following on the suggestions of Hicklin and Godwin and Meier in this journal, we identify different dimensions of the analyst–manager divide among professional policy workers. Using the results of several recent large‐N surveys of Canadian federal, provincial, and territorial policy workers, we explore the roles each group plays in the policy analytical process and the variations in their behavior in terms of duties and tasks, attitudes, and interrelationships. We also examine these to see the impact of federalism on professional policy practices. The study uncovers three groups of policy workers and policy managers—coordinator‐planners, research‐analysts, and director‐managers. Differences between groups of policy workers are found for their policy‐related work and their perceptions of tools of policy effectiveness, and differences between levels of government are identified for issues of time demands and coordination and tools of policy effectiveness. The implications of these findings for the study of public managers in the policy process are considered in conclusion.
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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 | 0.009 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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