Exploring the Perceptions of Alcohol Use among South Asian (SA) Punjabi Affected Family Members (AFMs) and their Experiences with Problem Drinking
Bibliographic record
Abstract
This interpretive description qualitative study explores the perceptions of alcohol use among South Asian (SA) Punjabi affected family members (AFMs) and their experiences with problem drinking from a Canadian community context. It is important to recognize the SA Punjabi community’s perceptions of alcohol use in order to develop a foundational understanding of this phenomenon from a socio-cultural perspective, an area of research that remains poorly understood. This preliminary investigation provides relevant contextual information to deepen our understanding of the experiences of SA Punjabi AFMs. Fourteen SA Punjabi AFMs were interviewed in both English and Punjabi. Analysis of participant narratives reveals five major themes: normalization of the SA Punjabi drinking culture; socio-cultural gender norms of alcohol consumption; socio-cultural gender related tolerance towards problem drinking; my relative’s drinking is the elephant in the room and I feel helpless and stuck. One of the themes, my relative’s drinking is the elephant in the room, had three sub-themes: fear of social judgement; fear of causing additional problems and fear of the relative. Interpretation of the participant experiences was facilitated through the use of the Stress-Strain-Coping-Support model (SSCS) (Orford, Velleman, Natera., et al., 2013). Participant stories highlight the unique socio-cultural experiences of SA Punjabi AFMs impacted by problem drinking. Findings from this study suggest a need for culturally and linguistically appropriate mental health and addictions supports for this community as they navigate the challenges of problem drinking within their families.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| 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; 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".