Losing control is not an option. Resource allocation to police oversight agencies in Western states
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 Independent police oversight is a specific government delegated function that has been neglected by scholars of regulation. The main goal of this article is to understand the allocation of state resources to independent police oversight agencies (POAs) in the post delegation stage. We test whether the aim of delegation is better governance in complex areas to increase police agents' accountability (“policy complexity”) or to avoid political costs of agencification (“agency losses”). A survey of 27 POAs in Europe and Canada shows that POAs tend to receive significantly fewer state resources when they have a high level of formal independence or strong legal empowerment. Resource allocation seems more congruent with an “agency losses” logic than with the goal of making regulation more efficient. Our findings have notable implications for international norm‐setting bodies (the UN, the Council of Europe), who have not sufficiently codified the allocation of resources.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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