The history of Canadian marketing: from the seventeenth century to World War II
Bibliographic record
Abstract
Purpose The purpose of this paper is to provide a briefly annotated bibliography of some 200 items that together constitute a “select list” of the available academic literature on the history of Canadian marketing from the seventeenth century to the beginning of Second World War. Design/methodology/approach After all the available academic literature on Canadian marketing the authors could uncover was examined, the most relevant, interesting, and accessible material was identified and annotated. In addition, all of the literature considered in any way pertinent was added to a more complete bibliography available on the CHARM web site. Findings Though existing Canadian business and economic history texts and courses tend to pay far more attention to other topics, there is a rich and varied literature on the history of Canadian marketing. Research limitations/implications No selections are included from either archival sources or the popular press nor are unpublished theses or dissertations cited. Originality/value This appears to be the first annotated bibliography on the history of Canadian marketing ever to have been compiled and published.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.009 | 0.022 |
| Science and technology studies | 0.022 | 0.010 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".