Research Protocol to Evaluate the Effects of Alcohol Policy Changes in Lithuania
Why this work is in the frame
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Bibliographic record
Abstract
AIMS: To point out the importance for public health to evaluate the past policy changes (2016-2018) in Lithuania. To present a research protocol to conduct this evaluation. SHORT SUMMARY: The staggered implementation of key alcohol policies in Lithuania over the past two years offers the possibility to evaluate 'best buys' for alcohol policies for this country. Lithuania is the only country where all 'best buys' were implemented over a short period of time, so this evaluation will be unique. METHODS: Quasi-experimental design based on interrupted time-series analysis of monthly routine statistics of morbidity and mortality indicators as well as key variables on the pathway between alcohol exposure and health outcomes. CONCLUSIONS: For the public health community, results of the evaluation of these policy changes will be of critical importance.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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