Opsporing en bestrijding van online drugsmarkten
Bibliographic record
Abstract
Tien jaar geleden (in 2008) zag een ondernemende Hagenees een gat in de drugsmarkt: de online verkoop van (soft) drugs.Waar je met een fysieke coffeeshop slechts klanten in de regio kunt bedienen, heb je via internet in potentie een wereldwijd bereik.Daarmee was 'Wolkenwietje.nl'geboren, vermoedelijk de eerste online webwinkel voor (soft) drugs uit Nederland.Al snel werd de website op verzoek van de politie offline gehaald. 1 Tot dusver krijgen online coffeeshops in Nederland geen gedoogvergunning.Een van de redenen is dat online coffeeshops praktisch gezien niet goed kunnen voldoen aan alle gedoogcriteria, zoals het controleren van de leeftijd en nationaliteit van de kopers en het verbod op adverteren via internet. 2Drie jaar later (in 2011) is de online drugsverkoop aanmerkelijk geprofessionaliseerd. Veel internetters maakten kennis met de online drugsmarkt Silk Road, na een veelbesproken interview met de eigenaar (de 'administrator') van de website The Dread Pirate Roberts. 3 Silk Road was een van de eerste echt succesvolle 'webshops voor drugs '. 4
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.024 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.093 | 0.032 |
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 source (direct Gemma or distilled Codex), 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".