International research capacity building program for health related professionals to study the drug phenomenon in Latin America and the Caribbean
Bibliographic record
Abstract
Most Organization of American States member states do not have a cadre of professionals with scientific knowledge and research experience on drugs and related problems. Therefore, the Organization of American States started a partnership, first with the University of Alberta/Canada and then with the Centre for Addiction and Mental Health in Toronto/Canada to train health related professionals to address this problem. The objective is to create a cadre of health and related professionals with scientific and technical research knowledge to enable scientific advances in the area of drug demand reduction. The program requires the development and implementation of a multicentric drug research proposal. The program has produced the following results: nine multicentric drug research studies implemented in 22 countries of Latin America and the Caribbean; 91 participants from 22 countries of Latin America and the Caribbean. This is the only program in the Americas offering continued advanced research training to university faculty and contributing to strengthen the undergraduate and graduates curriculum on drug issues and research capability in Latin America and the Caribbean.
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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 | 0.018 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.052 | 0.004 |
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".