Exploring perceptions of alcohol use in two Indian states: A qualitative study from Delhi and Haryana, India
Bibliographic record
Abstract
Arora, M., Tewari, A., Bassi, S., Chauhan, K., Bhasin, S., Bakshi, A., & Andréasson, S. (2017). Exploring perceptions of alcohol use in two Indian states: A qualitative study from Delhi and Haryana, India. The International Journal Of Alcohol And Drug Research, 6(1), 1-6. doi:http://dx.doi.org/10.7895/ijadr.v6i1.238Aims: To explore perceptions and determinants influencing alcohol consumption, with a view to inform development of suitable policies to control alcohol consumption.Methodology: Focus group discussions (FGDs) (n=24) were conducted in two Indian states among the rural Haryana (n=8 FGDs; 58 participants) and urban Delhi (n=16 FGDs; 113 participants) populations. Purposive sampling was used to recruit the participants, who were from high and low socioeconomic status (SES) groups and in the age group of 18–58 years.Results: Different factors influence alcohol consumption in high and low SES groups. The age of initiation is now as low as 10–12 years, attributable to the recent trend of increased accessibility. The participants agreed that alcohol consumption has now become a more acceptable part of daily living, whereas earlier it was limited to special occasions and festivals. This has contributed to an increase in drinking. Drinking among women was earlier a taboo, but now women (mainly of high SES), are often seen drinking at social gatherings. The respondents mentioned weak enforcement of regulatory policies related to alcohol consumption and sales.Conclusions: A shift in attitudes was observed towards drinking. Drinking is increasingly seen as a part of daily life. The availability of alcohol is perceived to be increasing and restrictions on sale are not effectively enforced. There is an urgent need to re-evaluate the alcohol policy from a public health perspective in India.
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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".