Cocaine Problems in the Coca‐Growing Countries of South America
Bibliographic record
Abstract
The problems of cocaine present a rather particular profile in the Central Andes region from which this drug originates. On the one hand there is a relatively harmless pattern of use (coca leaf chewing) in the countries concerned which minimizes the drug's most hazardous properties. On the other hand the region suffers from some of the most severe cocaine-related problems to be observed anywhere: (a) easy access to the newer, highly toxic preparations of the drug (such as coca paste) and a rapid growth in the number of new users; (b) the abandonment of certain traditional and essential agricultural activities in favour of the more profitable coca leaf production; (c) the severe ecological damage being caused in the coca growing areas; and (d) the establishment of a powerful coca trade economy which is subverting the very fabric of society and is creating corruption, lawless violence and political anarchy.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".