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Record W2556713841

Mickeys, Minis and Pints: An Investigation of the Marketing and Advertising Initiatives of Seagram and Hiram Walker, 1950-1969

2014· dissertation· en· W2556713841 on OpenAlexaboutno aff
Rochelle Pereira-Alvares

Bibliographic record

VenueThe Atrium (University of Guelph) · 2014
Typedissertation
Languageen
FieldArts and Humanities
TopicTravel Writing and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsAdvertisingAdvertising campaignGeographyBusiness
DOInot available

Abstract

fetched live from OpenAlex

This dissertation is an investigation of the marketing and advertising initiatives of two Canadian distillers Hiram Walker and Seagram in the United States from 1950 until 1969. The study contributes to the field of alcohol studies as it explores the divergent meanings alcoholic beverage advertisements conveyed about drinking in relation to constructs of gender, race and class. This dissertation demonstrates that while Seagram and Hiram Walker’s advertising campaigns and marketing efforts targeted white, middle class men, they disseminated competing and contradictory messages about masculinity and normative alcohol consumption to reach consumers with varied interests. The dissertation argues that despite the existence of an established heterosocial cocktail culture in the 1950s, the majority of Seagram and Hiram Walker’s whisky advertisements presented drinking as a homosocial activity. During the 1950s and 1960s, Hiram Walker and Seagram tried to increase market share by advertising to women and African American consumers in novel ways. This dissertation compares and contrasts the distillers’ advertisements directed at white men, women and African American consumers. As well, it adds to the history of advertising as it explores how the distilleries tried to influence consumers’ purchasing decisions, tap into their desires, expand market share and increase sales at a time when competition was intensifying.

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 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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.828
Threshold uncertainty score0.459

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.201
Teacher spread0.189 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2014
Admission routes1
Has abstractyes

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