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Record W1970063402 · doi:10.1177/0276146710376835

Single- and Multi-Ideology Marketing in the Province of Quebec in the Early Twentieth Century

2010· article· en· W1970063402 on OpenAlexaffabout
Lisa Baillargeon, Patrice Gélinas

Bibliographic record

VenueJournal of Macromarketing · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsYork UniversityUniversité du Québec en Outaouais
Fundersnot available
KeywordsIdeologyNationalismContext (archaeology)Political sciencePopulationAdvertisingSociologyPoliticsLawBusinessHistoryArchaeology

Abstract

fetched live from OpenAlex

In this article, the authors examine the marketing strategies that stove manufacturers implemented in the province of Quebec at the beginning of the twentieth century where the French and English Canadian nationalist ideologies coexisted. More specifically, the authors document evidence that a multi-ideology marketing framework mixing English and French Canadian nationalisms was used by French Canadian producers while English Canadian producers developed advertising campaigns exhibiting references to a single ideology. The analyses further suggest that the nationalist ideologies that producers tried to embed in stoves were consistent with their differentiation strategies. Overall, the authors conclude that advertising campaigns designed by members of a threatened ideological minority are more sensitive to all ideologies forming a population than are campaigns designed by members of an unthreatened ideological majority. More broadly, this study provides support for the widespread claim that the social context in which marketing is to occur ought to be taken into consideration.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.570

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.003
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.223
Teacher spread0.210 · 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

Citations5
Published2010
Admission routes2
Has abstractyes

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