Factores de riesgo relacionados al uso de drogas ilegales: perspectiva crítica de familiares y personas cercanas en un centro de salud público en San Pedro Sula, Honduras
Bibliographic record
Abstract
This article presents quantitative data from a multicenter, cross-sectional study, which was performed at a public health center in San Pedro Sula, Honduras, using multiple methods. The objective of the study was to describe the critical perspective of people who reported being affected by their relationship with an illicit drug user (relative or acquaintance) in terms of risk factors. Data collection was performed using 100 questionnaires. Most participants were women with low education levels. Drug users were mostly men, with an average age of 23.3 years. The most consumed drug was marijuana (78%), followed by crack/cocaine (72%), glue/inhalants (27%), hallucinogens (ecstasy/LSD) (3%), amphetamines/stimulants (1%), and heroin (1%). The identified risk factors include: previous experience with alcohol/tobacco, having friends who use drugs, lack of information, low self-esteem, age, and other personal, family and social factors. In conclusion, prevention and protection should be reinforced.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".