Plant Breeders’ Rights Advisory Committee
Bibliographic record
Abstract
The Canadian Plant Breeders’ Rights Act, which was enacted in 1991, specifically section 73, requires that the Minister of Agriculture and Agri-Food form an Advisory Committee consisting of representatives of various associations and enterprises involved in the value chain (e.g. plant breeders, horticulturists, seed dealers, farmers, and other persons the Minister considers appropriate). The measure is intended to involve the farming community, as well as other representatives, in the administration of the Canadian intellectual property regime for the protection of new plant varieties. It thus ensures that legislative, policy, and procedural decisions surrounding the administration of the Plant Breeders’ Rights Act, are made respecting interests of all value chain members, including farmers, and benefits the value chain as a whole. The advice comes in various forms; it could be communicated to the Plant Breeders’ Rights Commissioner via an annual face-to-face meeting or in written format. The outcomes of this measure/practice are reflected in the impacts of the decisions taken by the Advisory Committee, or the policies implemented; for example, improved access to new plant varieties for Canadian farmers.
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 | 0.010 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.106 | 0.034 |
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".