Considering the nuances of working with South Asian Punjabi families around substance abuse
Bibliographic record
Abstract
According to Statistics Canada (2013), in 2012, approximately 21.6% of the Canadian population met the criteria for a substance abuse disorder at some point during their lifetime. This speaks to the importance of having evidence-supported treatments (ESTs) available to inform the work of therapists when working with this clinical population and their families. However, there is a gap in the research literature on ESTs for substance abuse in that cultural factors have been underexamined and the South Asian community is consistently excluded from research. This is alarming as the South Asian population is one of the two largest visible minority populations in Canada (Nakamura, Lalomiteanu, Rehm & Fischer, 2011). The current paper examines the beliefs held by the South Asian community around substance abuse, reviews the literature on substance abuse, its effects on the family system and the treatment options available, explores the cultural factors that must be considered when conceptualizing substance abuse, considers the implications of the lack of ESTs for substance abuse for the South Asian Punjabi population, and discusses how therapists can be culturally competent in their work with South Asian Punjabis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".