Transnational policing between national political regimes and human rights norms: The case of the Interpol Red Notice system
Bibliographic record
Abstract
Current transnational policing mechanisms such as Interpol appear to reproduce authoritarianism-like actions in democratic contexts by helping to undermine the rights and freedoms of individuals targeted by non-democratic regimes. Through an in depth examination of the cases of Turkish and Russian police, this article seeks to explain the possible motives of the law enforcement institutions of democratic states in executing the questionable Interpol Red Notice requests by authoritarian regimes based on the existing theoretical debates in the literature on international policing. It explores three factors that foster policing cooperation between democratic and authoritarian states: 1) an aspired depoliticization of international policing that facilitates cooperation among states with different national and ideological outlooks; 2) an occupational culture that encourages professional support and solidarity among policing agents that transcends national rivalries; and 3) state cooperation against threats posed by the planning and conduct of international crime.
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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 | 0.002 | 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 | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".