“It’s not easy but it's still possible to be an abstainer here”: Non-Drug Use Among Young Men in a Slum Area in Makassar, Indonesia
Bibliographic record
Abstract
This qualitative study explores the social context and protective factors that enable young men in a slum area (lorong) in Makassar, Indonesia, to abstain from using drugs. Semi-structured interviews, conducted with fifteen male non-drug users in the lorong showed, despite living in a drug risk environment, non-drug users were involved in neither the drug scene nor street culture. There were two main reasons for this: their employment opportunities, albeit in low paid jobs and the informal economy, and their schooling. These non-users asserted that respectability and the status of rewa (a local construct of masculinity) should and could be achieved through traditional means, i.e. employment providing legitimate income and education leading to a career. Their work provides both direct benefit, i.e. legitimate income (economic capital), and indirect benefits such as meaningful activities and structured time. Employment and schooling also generated a respectable identity (symbolic and cultural capital), wider social networks (bridging social capital) and the opportunity for upward mobility. All of these enable them to have a stake within mainstream society and are incentives for them to abstain from drug taking. This study demonstrates the crucial role of direct and indirect benefits of employment and of economic, symbolic, cultural and social capital in understanding the social context of non-drug use among young men in the lorong. The findings suggest protagonists of drug policy reform and implementation in Indonesia should be more cognizant of social marginalization in the lorong, and of the need to improve young people’s access to employment and education, in order to decrease the likelihood of drug initiation and use.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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; 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".