Stigmatization of people with alcohol use disorders: An updated systematic review of population studies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: We summarize research on the public stigmatization of persons with alcohol use disorder (AUD) in comparison with other mental health conditions and embed the results into a conceptual framework of the stigma process. METHODS: We conducted a systematic search using Embase, MEDLINE, PubMed and PsycINFO (via Ovid), and Web of Science for population-based studies on the public stigma in AUD and at least 1 other mental health condition, published between October 1, 2010 and December 20, 2020, thus including all studies published since the last systematic review on this topic. The study is registered with PROSPERO (registration number: CRD42020173054). RESULTS: We identified 20,561 records, of which 24 met the inclusion criteria, reporting results from 16 unique studies conducted in 9 different countries. Compared to substance-unrelated mental disorders, persons with AUD were generally less likely to be considered mentally ill, while they were perceived as being more dangerous and responsible for their condition. Further, the public desire for social distance was consistently higher for people with AUD. We found no consistent differences in the public stigma toward persons with AUD in comparison with other substance use disorders. CONCLUSION: The stigmatization of persons with AUD remains comparatively high and is distinct from that of other substance-unrelated disorders.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it