The intellectual odyssey of David D. Monieson (1927‐2008): a quest for usable knowledge
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
Purpose The purpose of this paper is to present a biographical sketch of David D. Monieson whose academic career in marketing included time spent at the Wharton School of Business at the University of Pennsylvania, the University of Toronto, and over 30 years at Queen's University. It is focussed on Monieson's contributions to the history and philosophy of marketing thought, especially with respect to what Monieson called “usable knowledge” in marketing. Design/methodology/approach This paper uses a traditional historical narrative based on extensive personal interviews with Monieson and with some of his students and colleagues as well as archival research including personal correspondence, course notes, research notes, and other unpublished documents. Findings Monieson made important contributions to the thinking about history and philosophy of marketing thought. Some of his ideas, such as the intellectualization and re‐enchantment of marketing, have found a following among marketing academics; others, such as complexity, have not. Originality/value There is no published biographical study of Monieson and no detailed analysis of his contributions to marketing thought. This biographical sketch provides insights into several significant marketing ideas and tells the life story of an important marketing scholar.
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 | 0.032 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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