Alcohol Abuse as a Militating Factor against Quality of Life for Migrants’ Youth Population in Selected Provinces of South Africa
Bibliographic record
Abstract
Migrants’ youth are seen as one of the vulnerable populations in South Africa. This is largely due to the fact that they are seen as people who come to take job opportunities of the youth in the host country. In order to cope with their fear and stress, migrants indulge in binge consumption of alcohol. It is in light of that that in this paper researchers aimed to accentuate alcohol abuse as a militating factor against the quality of life for migrants’ youth population in selected provinces of South Africa. The study adopted qualitative approach and case study design to highlight how alcohol is seen as a militating factor against quality of life. The study population was drawn from three provinces in South Africa using convenient sampling technique to sample three participants. Moreover, the data was collected telephonically in three selected provinces and analysed thematically. The findings indicate that due to the accessibility, availability, affordability and stress migrants’ youth indulge in binge consumption. Thus, researchers recommend that policymakers should make guidelines that will restrict mushrooming of alcohol outlets – be regulation to prohibit overcrowding of outlets in selected provinces of South Africa.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".