Alcohol, diabetes, and public health in the Americas
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
This article describes epidemiological evidence on the association between alcohol use and diabetes, and the implications for clinical management and public health policies in the Americas. Heavy alcohol use is a risk factor for both diabetes and poor treatment adherence, despite evidence that moderate drinking can protect against type 2 diabetes under some circumstances. The burden of disease from diabetes associated with excessive alcohol consumption warrants both clinical and public health measures. On the clinical level, research on early interventions to prevent hazardous drinking shows that new screening, brief intervention, and referral techniques are effective ways to manage hazardous drinking in primary care settings. On the population level, restrictions on alcohol marketing and other alcohol control policies reduce the frequency and intensity of alcohol consumption in at-risk populations. These policy actions are recommended within the context of the World Health Organization's global strategy to reduce the harmful use of alcohol.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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