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Record W178365983 · doi:10.1177/009145090703400405

The Effects of Privatization of Alcohol Sales in Alberta on Suicide Mortality Rates

2007· article· en· W178365983 on OpenAlexaboutno aff
Rosely Flam Zalcman, Robert E. Mann

Bibliographic record

VenueContemporary Drug Problems · 2007
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAutoregressive integrated moving averageSuicide ratesAlcohol consumptionMortality rateDemographySuicide preventionConsumption (sociology)Injury preventionPoison controlEnvironmental healthDemographic economicsSocioeconomicsBusinessEconomicsMedicineAlcoholSociologyTime series

Abstract

fetched live from OpenAlex

We examine the impact of privatization of retail sale of alcohol in Alberta, Canada, between 1985 and 1995 on mortality rates from suicide. Privatization took place in three stages: The opening of privately owned wine stores in 1985, the opening of privately owned cold beer stores and the selling of spirits and wine in hotels in the rural area in 1989–90, and finally privatization of all liquor stores in 1994. Interrupted time series analysis with Auto Regressive Integrated Moving Average (ARIMA) modeling was applied to male and female suicide rates to assess the impact of the three stages of privatization. The analyses demonstrated that most of the privatization events resulted in either temporary or permanent increases in suicide mortality rates. Other alcohol-related factors, including consumption levels and Alcoholics Anonymous (AA) membership rates, also affected suicide mortality rates. These analyses suggest that privatization in Alberta has acted to increase suicide mortality rates in that province.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.046
GPT teacher head0.335
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations26
Published2007
Admission routes1
Has abstractyes

Explore more

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