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Record W1991588716 · doi:10.1108/17557501111157760

Orderly marketing: reality, rhetoric or myth?

2011· article· en· W1991588716 on OpenAlexaffabout
Paul D. Earl

Bibliographic record

VenueJournal of Historical Research in Marketing · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSloganOriginalityMarketingValue (mathematics)MythologyMarketing scienceRhetoricMeaning (existential)Marketing researchMarketing mixSociologyMarketing managementPublic relationsPolitical scienceBusinessRelationship marketingSocial scienceQualitative researchPoliticsLawHistory

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to examine the meaning and content of the term “orderly marketing” as it was adopted by Western Canadian farm leaders in the 1920s, and to determine whether the expected results of “orderly marketing”, as they were enunciated by farm leaders, were met. Design/methodology/approach The paper examines the critique that farm leaders and Wheat Pool officials levelled against the open market, and the way they posited “orderly marketing” as a solution to their perceived problems. Using contemporary data on wheat prices and movements, it analyzes the content of orderly marketing, and the results of its implementation by the Pools. Findings The paper finds that “orderly marketing” was primarily a campaign slogan, that the problems it was alleged to address did not exist, and that its implementation by the Wheat Pools did not yield the results that the farm leaders had promised. The paper acknowledges however, the significant accomplishments of these organizations, and postulates that the concept of orderly marketing resonates with aspects of Canadian culture and helps to explain why grain marketing in the USA and Canada evolved so differently. Originality/value The agricultural cooperative movement in Western Canada has been the subject of a great deal of historical research, most of it positive. However, there are no recently published qualitative studies of the history of the term, nor in‐depth quantitative analyses of the economic results achieved by the Wheat Pools during the 1920s that compare with the contents of this paper.

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)0.035
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.719
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0350.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.231
GPT teacher head0.356
Teacher spread0.125 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations2
Published2011
Admission routes2
Has abstractyes

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