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Record W2506423249 · doi:10.1177/194277861500800201

Ethical Trade and Public Enterprise: Controlling Consumption in Ontario's Liquor Market

2015· article· en· W2506423249 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHuman Geography · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsFair tradeCorporate social responsibilityPoliticsMonopolyMandateTransformative learningConsumption (sociology)WorkforceState (computer science)Law and economicsBusinessPublic administrationPublic relationsPolitical economyPolitical scienceEconomicsMarket economySociologyLawSocial science

Abstract

fetched live from OpenAlex

This article examines the Liquor Control Board of Ontario (LCBO) as a form of ethical trade. Its unique public mandate, rooted in “con trolling consumption” and semi-monopoly, has been central to its relative success as well as its general disregard by Corporate Social Responsibility (CSR) and ethical trade advocates, who focus on the actions of private corporations and individual consumers. Exploring the political significance of this oversight, its gaps and slippages, this article argues that the LCBO would do very well by standard CSR metrics, while also transcending them in several ways. The LCBO contributes billions of dollars to the public purse, acts as a form of “hidden developmental state,” negotiates prices with suppliers on the basis of “fair and equitable treatment,” and employs a unionized workforce with comparatively strong labour conditions. Recognizing this offers both a challenge to the dominant understandings of CSR, and the fantasies of a “harmonious market society,” while pointing to a wider perspective on a more transformative political vision of ethical trade.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.034
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

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

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 head0.040
GPT teacher head0.272
Teacher spread0.232 · 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