Engaging in Community Dialogues on Low-Risk Alcohol Use Guidelines for Older Adults
Bibliographic record
Abstract
Despite widespread use and acceptance of alcohol, discussions of age-related changes that impact alcohol consumption behaviors are rare. The objective of this community-engaged qualitative research study was to gain insight into how to promote knowledge dissemination regarding newly developed low-risk drinking guidelines for older adults. A convenience sample of 66 older adults and service providers participated in three Knowledge Café dialogue workshops and discussed their opinions about alcohol use in later life and ideas for sharing alcohol-related research evidence with the community. Participants discussed (a) low-risk drinking knowledge dissemination, (b) personal choice in drinking alcohol and adherence to low-risk drinking guidelines, and (c) preferences for engaging in discussions about alcohol use. Community dialogues fostered knowledge dissemination while participants engaged in rich conversations about a rarely discussed topic. Sharing evidence-based clinical advice with community stakeholders through dialogue events offers an innovative opportunity for health promotion efforts.
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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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".