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Record W4243529107 · doi:10.24124/2008/bpgub1365

The social and economic impacts of private and public liquor retailing in British Columbia

2008· dissertation· en· W4243529107 on OpenAlexaboutno aff
Jonathan Tarnowski

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Private sectorPoliticsBusinessProduct (mathematics)EconomicsPolitical scienceEconomic growthLaw

Abstract

fetched live from OpenAlex

Liquor retailing in British Columbia is largely controlled by the Province of British Columbia.Recent changes in the past five years have allowed additional private liquor retailers to co-exist with government run liquor retail stores.Political, union, and proprivatization lobbying have all had effects on sales and liquor distribution.Private liquor stores and government liquor stores may sell the same products but that is as far as the similarities go.The public and private sector differ greatly in regards to product selection, price, employment and regulations.Currently the private sector follows archaic regulations while the British Columbia government run stores continue to expand in size and location.The private sector sits idle bound in red tape by issues such as limited locations for operation, size constraints, high product cost and political influence.The general public is unaware of the differences between public and private liquor retailing and need to be made aware of the social and economic effects of public and private retailing.The provincial government and union lobbyists justify the government's existence in the liquor market by citing issues such as health hazards and drunk driving.This government control generates a sizable income in the neighbourhood of $2.25 billion dollars per year for the 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)0.001
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 score0.058
Threshold uncertainty score0.417

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0060.002
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.015
GPT teacher head0.229
Teacher spread0.213 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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