The Quebec Act Respecting Reserved Designations and Added-Value Claims: Innovative Regulations in North America for Terroir and Specificity Products
Bibliographic record
Abstract
The Conseil des appellations réservées et des termes valorisants (CARTV) is the governing body responsible for the management and protection of reserved designations in Quebec. This article explores the challenges faced by CARTV in the implementation of the Act Respecting Reserved Designations and Added Value Claims, an innovative regulation in North America. One major challenge is that the voluntary nature of the regulation makes it more difficult to enforce. Disseminating information about the regulations to the local industry actors most affected by them is crucial, as they effectively allow for its success or failure; it is also important to convince all participants to act in a spirit of collective interest. Further, it is necessary to adapt the principles of reserved designations to the specific conditions of the landscape. To follow the examples of regions where such regulations have been most successfully applied, going forward it would be highly beneficial for Quebec to use reserved designations as a means of favouring rural development and acknowledging the multifaceted function of agriculture.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 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".