Effectiveness of Organized Teaching Program on awareness regarding substance abuse among students
Bibliographic record
Abstract
Background: Substance use among college students is associated with numerous negative outcomes including lower academic performance, a higher probability of un-employment after graduation, and increased risk of committing and experiencing sexual assault6.Worldwide, more than a quarter of all people aged 15-19 years are current drinkers, amounting to 155 million adolescents aged 15-19 years was 13.6% in 2016, with males most at risk. Objective: Evaluate the effectiveness of organized teaching programme on awareness regarding substance abuse among students in selected colleges. Methodology: A pre-experimental study was conducted among adolescents in selected colleges, Kochi. Sixty samples were selected by convenient sampling technique. Tools were prepared to collect sociodemographic proforma and a semi-structured questionnaire was prepared to evaluate the awareness on substance abuse. Result: the study revealed that out of 60 samples 36 respondents (60%) have average awareness score, 3 (5%) gained good awareness score and 21(35%) had poor awareness score. The sociodemographic variables such as age and gender were significantly influencing the awareness regarding substance abuse and the organized teaching program is found to be effective in creating awareness among students. Conclusion: Majority of the participants were not aware about substance abuse and organized teaching program helps to create awareness among the participants
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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 | 0.001 | 0.002 |
| 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) | 0.003 | 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".