The fourth power. A mapping of police oversight agencies in Europe and Quebec
Bibliographic record
Abstract
Independent police oversight bodies are advocated by human rights organizations to be the most credible and effective solutions to address the misbehavior and systemic malfunction. They have emerged in parallel with independent regulatory agencies in various economic sectors, thus signaling a new trend in governance interpreted as the rise of a “fourth power.” Still, comparative knowledge is scarce about the nature of delegation of power to police oversight agencies (POAs) and their actions. By analyzing 25 POAs in 20 countries, this article seeks to precisely describe their features in Europe and Quebec: the timeline of their birth, the scope of delegation (remit, formal independence, powers, resources), and the variations in how they execute their mandate. We unveil a profound heterogeneity across countries. In terms of national patterns, the main divide is between specialized (police only, limited formal independence, more abundant resources) and non-specialized (all public administrations, strong formal independence, limited resources) agencies. The latter tend to act as a public fire alarm to compensate for their lack of resources. Our mapping also contrasts European countries’ oversight mechanisms, which rely on professional agencies that are mostly established at the national or regional level, with local civilian oversight boards in the US. And, while our results confirm that the 1990s marked a watershed, they question the notion that agencification in the police sector has been a vector for revolution in its governance, since no POA incorporates all the traits required for them to be the fourth power just yet.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".