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Record W2167518957 · doi:10.1177/0276146708316565

Marketing, Society, and Controversy: An Online Course from a Macromarketing Perspective

2008· article· en· W2167518957 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.

Bibliographic record

VenueJournal of Macromarketing · 2008
Typearticle
Languageen
FieldDecision Sciences
TopicEthics in Business and Education
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMacromarketingSustainabilityMarketingSociologyExternalityScope (computer science)Quality (philosophy)PoliticsSustainable developmentEconomicsSocial sciencePolitical scienceBusinessLawEpistemology

Abstract

fetched live from OpenAlex

This article discusses the nature, scope, content, and evaluation methods that could be employed either in an entirely online macromarketing course or in a mixed mode or face-to-face course with readings drawn exclusively from online sources. That course is built around a critical thinking evaluation of controversial macromarketing topics. However, many of the assigned readings are drawn from other academic disciplines. The central macromarketing concerns explored include negative externalities, the politics of distribution, distributive justice, marketing, and the quality of life, globalization, socioeconomic development, and sustainability. The specific controversies on which students must take a position include a possible market for human body organs, the negative externalities associated with advertising, what— if anything—should be done about the Wal-Mart effect, the pricing of AIDS drugs in Developing Nations and the best way of meeting the UN's Millennium Development Goals.

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)0.023
metaresearch head score (Gemma)0.034
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.162
GPT teacher head0.408
Teacher spread0.246 · 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