A Comparative Assessment of Elite Policy Recruits in Canada
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
Recent case studies and large-N survey evidence has confirmed long-suspected shortages of public sector "policy capacity". Studies have found that government policy workers in various jurisdictions differ considerably with respect to types of policy work they undertake, and have identified uneven capacity for policy workers to access and apply technical and scientific knowledge to public issues. This suggests considerable difficulties for government's ability to meet contemporary policy and governance challenges. Despite growing attention to these matters, studies have not examined the "elite" policy workers many governments recruit to address these capacity shortages. Using an established survey instrument, this study of two Canadian recruitment programs provides the first comparative analysis of elite policy recruits, as policy workers. Three research questions anchor the study: (1) What is the profile of these actors? (2) What types of policy work do "elite" policy analysts actually engage in? (3) How does their policy work compare by recruitment program? The article provides fresh comparative data on the nature of elite policy work and policy analytical capacity, but, more importantly, a crucial baseline for future comparative study of how elite recruitment may facilitate "supply-side" capacity gains expected from recruitment programs.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 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