Multiple Locations of Alcohol Use in the Narratives of the Peruvian Andean Highland and Population with Problem Drinking
Bibliographic record
Abstract
The present qualitative study explores local meanings and modes of interpretation of alcohol use among people with problem drinking in the Peruvian Andean highlands. We conducted individual interviews with 19 people in two districts of Ayacucho region identified as having engaged in problem drinking, using McGill Illness Narrative Interview Schedule. Participants articulated multi-layered associations between alcohol and the body, emotions, social relations, and shared cultural practices and understandings. In the explanatory model of physical distress, participants’ problem drinking was often identified as one of the perceived causes or consequences. Moreover, many participants shared their experiences of interpersonal difficulties, such as family disintegration, separation from wife/girlfriend, and conjugal infidelity. These experiences resulted in psychological distress, often described by idioms of distress such as “pensamiento” (constant thinking) and “preocupación” (worrying thought), and the engagement with alcohol. At the same time, alcohol use is situated in participants’ daily experience, where past and current interpersonal afflictions intersect with persistent economic hardship and injustice at a larger socio-economic level. Alcohol was seen as instrumental in navigating their social relations as well. Decisions and attitudes toward alcohol use in Ayacucho are shaped in the course of searching for opportunities to build, develop, and maintain interpersonal relationships with friends, colleagues, families, and community members. This study illustrates the importance of understanding the patients’ life histories in clinical communication as well as the need for social policies to address the socio-economic determinants of hardship and illness that precipitate alcohol use in the south-central Andean highlands of Peru.
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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 | 0.002 | 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 | 0.005 | 0.006 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.006 |
| 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".