Bibliographic record
Abstract
Purpose Farmers' markets are often identified as the roots of marketing enterprise. They are usually considered as part of a traditional economy. This study seeks to examine how the social and political context shaped the appearance, growth, decline, and reappearance of farmers' markets in Canada. It aims to demonstrate the continuation and resilience of this industry. Design/methodology/approach Published research and historical documents of Canadian farmers' markets were used to derive a periodization of events based on events and turning points to allow an understanding of the factors affecting business success. Findings This study finds three eras of farmers' markets in Canada that were shaped by the social and political environment. In the first era, between 1800 and 1915, immigrants brought their conception of farmers' markets from Europe to the early settlements of the “new world.” In the second era between 1916 and 1970, as people moved west they became more self‐sufficient. Life became modernized and farming became more industrial. People shifted from their reliance on farmers' markets to more general mercantile stores and then to modern supermarkets. In the third era, starting in the 1970s, farmers' markets came into resurgence, largely as a result of a growing interest in the environment and local foods. They are currently, however, mostly relegated to a niche role in the modern food supply. Originality/value This study shows how the success of a particular commercial enterprise, in this case farmers' markets, is shaped by and reacts to larger forces in the business environment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.019 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".