Alcohol Control by Referendum in Northern Native Communities: The Alaska Local Option Law
Bibliographic record
Abstract
When Alaska became a state in 1959, state laws took control of alcohol regulation from the federal government and Native communities. In 1981, however, the state legislature changed the alcohol laws to give residents broad powers, via a local option referendum, to regulate how alcohol comes into their communities. By mid-1999, 112 small communities had held nearly 200 alcohol control elections under the state law. Of these elections, 69% added new restrictions on alcohol, while 13% removed restrictions previously imposed. The remaining 18% did not receive the majority vote needed to change the existing status. Most communities passing local option restrictions chose to ban sale and importation of alcohol. Although most of these elections occurred during the first eight years after the law was passed, elections continue to occur as the law evolves and as communities debate the merits of alcohol control. Growing evidence suggests that the local option law may reduce adverse effects of alcohol abuse in Alaska Native communities. However, the law's most important contribution may be to restore a limited form of self-government to these communities.
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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 | 0.000 | 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 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".