Identifying New Approaches for U.S. Drug Policy using Ownership, Location, and Internalization Factors
Bibliographic record
Abstract
Abstract Dunning’s Eclectic Paradigm is used to assess the effectiveness and impact of U.S. drug prohibition policy on economic growth and political stability in Latin American countries as well as the decision making of Latin American Transnational Criminal Enterprises (TCE) in the cocaine-coca market. Results showed U.S. drug prohibition policy reduces the on-site supply but does not significantly reduce the transportation of cocaine and coca. U.S. drug prohibition policy also generated political instability for the region, and revealed policy externalities that facilitated TCE expansion. Tougher U.S. drug prohibition policy advances TCE by amplifying the impact that unemployment and local wages have on increases in cocaine-coca production, and by limiting the impact of control of corruption and economic freedom on coca eradication. Our results signal that a site-specific approach accompanied with policies that improve the farmers’ economic freedom, such as land formalization rights, and policies that lower unemployment rate facilitate effective U.S. drug prohibition policy.
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.
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 | 0.000 | 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".