Jurisdictional overlap: The juxtaposition of institutional independence and collaboration in police wrongdoing investigations
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
Introducing multiple layers of “independent” structures has become a go‐to strategy for public agent oversight. The question remains whether such decentralized, overlapping structural arrangements of oversight reduce regulatory uncertainty and produce better policy outcomes. Using the case study of Ontario, Canada, I examine the consequences of institutional layering for the specific and broader goal of independent oversight and democratic policing, respectively. Semi‐structured interviews with oversight officials and other key stakeholders as well as past governmental reports that led to the police oversight reform are analyzed to study the gap between the policy intention and outcome. I found that multiple “independent” investigatory agencies are meant to operate concurrently within an integrated system to ensure a responsive and comprehensive oversight system. However, their structural separation obstructs collaboration among the external agencies, causing various dysfunctional bureaucratic behaviors that undermine the overarching intention. The disconnect among different oversight authorities exacerbates their reliance on internal police‐led procedures for all police misconduct inquiries. Implications of my research extend beyond policing and further the study of overlapping regulatory oversight and structural reform through institutional layering.
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 | 0.000 | 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