ATTITUDES TOWARD PERSONS WHO ABUSE DRUGS IN ONE URBAN COMMUNITY OF WOODBROOK IN PORT OF SPAIN -TRINIDAD & TOBAGO
Bibliographic record
Abstract
ABSTRACT Objective: this study will present insights on the situation in the surveyed sample as it relates to attitudes towards persons who abuse alcohol by age and gender and would constitute a platform upon which further research can be conducted by researchers in the drug field. Method: this cross-sectional study examines the profile of a sample of residents in the Electoral District of Woodbrook, Port-of-Spain, Trinidad and Tobago. The sample consisted of 121 respondents. Results: alcohol was the most abused drug (85.2%), followed by marijuana (86%), cocaine (69%) and cocaine derivative (41.8%). The prevailing attitude towards persons who abused alcohol was ambivalence (64.8%); this was followed to a lesser extent by an attitude of negativity (34.4%), and the least significant attitude among respondents was premised on positivity (.8%). Respondents also held a negative attitude towards those who abused cocaine and marijuana. Conclusion: the high level of ambivalence towards alcohol use may be intertwined with the social acceptability and high usage of this drug reported from among those surveyed in the Electoral District of Woodbrook.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".