Playing Pac-Man in Portville: Policing the dilution and fragmentation of drug importations through major seaports
Bibliographic record
Abstract
This article presents findings from a qualitative research project into organized crime, policing and security across five major seaports (‘Portvilles’): Genoa (Italy); Melbourne (Australia); Montreal (Canada); New York (USA); and Liverpool (UK). Through content analysis of confidential judicial files, the article will construct the offenders’ scenarios and options for importing drugs in Portville. Through also interviews with law enforcement agencies, police forces and security staff in these seaports, the article presents the policing and security struggles to disrupt importations. The main finding is that importation roles and security techniques change constantly and quickly, as in a game of Pac-Man. Security and policing in seaports lead to the dilution and fragmentation of drug importation, and only distribution tends to remain organized in Portville. In this chaotic environment, it is the rules of trade that affect the success of drug importations the most, rather than the failures of effective security and policing.
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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 | 0.000 | 0.000 |
| 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; 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".