Comparing Formal Public Sector Policy Staff: Organizing Principles, Composition, and Distribution in Anglophone Countries
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
This exploratory article examines the contemporary state of formal government policy staff in Australia, Britain, Canada, and New Zealand, contributing to the ongoing research seeking to understand the policy capacity of governments. It analyzes the size, composition, and distribution of the countries’ formal policy staff across government units. Comparative analysis reveals significant differences in the basic organizing approaches used to categorize policy staff as well as important differences in their numbers, composition, and distribution across government units. While uneven distributions characterize all four cases, there is significant variance in where staff work, their seniority, and functional classifications as “analysts” or “managers”. The analysis provides fresh insights into the nature and availability of policy analytical capacity within these governments. It also underscores major gaps in how governments collect and make available basic data on their policy staff, which raises questions about their ability to effectively manage and deploy those staff.
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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 | 0.013 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 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