Bibliographic record
Abstract
A. Background to the Project he Manitoba Law Reform Commission has noted that franchising is a growing and relatively unregulated field of business activity; there has been occasional media attention focusing on the inequality between franchisors and franchisees and recently, on alleged franchising frauds in Manitoba. 1 In recent years, three provinces and several countries have enacted new or revised franchise legislation.In January 2006, the Commission received a suggestion that a review of possible reforms to franchise law would be valuable in Manitoba, 2 and the Commission agreed to undertake the project. B. ScopeThis paper considers whether the regulation of franchises is desirable in Manitoba.It provides an introduction to the history and various models of franchising, an overview of existing franchise regulation in Canada and other countries and a comparison of the elements of Canadian legislative regimes.Finally, it asks whether franchise legislation is needed in Manitoba, and if so, what elements should be included in the legislation.
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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.020 | 0.007 |
| Insufficient payload (model declined to judge) | 0.061 | 0.014 |
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".