Franchising and the Extraction of Surplus Value: Excavating the Legal Boundary Between Franchisees and Employees
Bibliographic record
Abstract
Nearly one in ten Canadians in the private sector works in the franchised sector of the economy. For the most part, franchisors operate as rentiers, extracting value from franchisees for the use of their brand. Research has demonstrated that this arrangement puts additional pressure on franchisees to extract surplus value from their employees that tend toward substandard and unlawful working conditions. In this scenario, franchisors benefit from but are only indirectly involved in the extract of surplus value. In some cases, however, the vertical controls exercised by “franchisors” over “franchisees” are so extensive, and the financial contribution of “franchisees” is so limited, that the franchisor becomes involved in directly extracting surplus value from franchisees. We explore this latter phenomenon through an excavation of the history of the legal distinction in Canadian business-format franchising in Canada and detailed studies of two recent Canadian cases in which “franchisees” successfully claimed employment status.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.028 | 0.028 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".