An Open Source, Controversies-based Macromarketing Chapter
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.
Bibliographic record
Abstract
This article first discusses the pedagogical usefulness of an “open source” chapter now available to all at the Macromarketing Society's Web site. That chapter begins by examining the chasm that existed between macromarketing as a field of inquiry and the then (2005) prevailing American Marketing Association definition of marketing. Next, the article attempts to familiarize readers with the domain, or various areas of study, within macromarketing. Finally, its author both makes the case for and provides eight examples of a controversies-based approach to the study of macromarketing. As regards the next step in macromarketing pedagogy, it is argued that the time for authoring a macromarketing textbook has come and gone. Rather, that next pedagogical step should involve the design of a free, online macromarketing course universally available for use, in whole or in part, both by interested instructors and by students of macromarketing or marketing and society.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it