International research capacity building program for health related professionals to study the drug phenomenon in Latin America and the Caribbean
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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 it