Policy advice through the market: The role of external consultants in contemporary policy advisory systems
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 use of external policy consultants in government has been an increasing focus of concern among governments in the U.S., the UK, Canada and Australia, among others. Concern has arisen over the costs incurred by governments in this area and over the possible rise of a ‘consultocracy’ with the corresponding diminishment of democratic practices and public direction of policy and administrative development that could entail. However, current understanding of the origins and significance of the use of policy consultants in modern government is; poor with some seeing this development as part of a shift in the overall nature of state-societal relations to the ‘service’ or ‘franchise’ state and away from the ‘positive’ or ‘regulatory’ state, while others see it as a less significant activity linked to the normal development of policy advice systems in modern government. This article surveys the existing literature on the phenomena, in general, and identifies several methodological and data-ralated issues germane to the study and understanding of the activities of this set of external policy advisory system actors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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