Development and Validation of a Scale Measuring Attitudes Toward Non-Drinkers
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
The idea that individuals drink alcohol to fit in with their peers has been investigated by many researchers. However, the related concept that consumption of alcohol may serve as a means of avoiding the social costs associated with being a non-drinker has received little attention. Three studies (N = 94, 148, 236) are outlined, which detail the construction and preliminary validation of the Regan Attitudes toward Non-Drinkers Scale (RANDS). Results indicated that scale score reliability for the RANDS was good (α values range from .82 to .89) with exploratory and confirmatory factor analyses suggesting that the scale possesses a unidimensional factor structure. Importantly, scores on the RANDS emerged as a stronger predictor of self-reported yearly alcohol consumption and binge-drinking than indicants commonly assessed in alcohol use and abuse research in adolescents and young adults (e.g., peer pressure). Limitations of these studies and directions for future research are outlined.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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