A Brief History of Flax Breeding in Canada
Bibliographic record
Abstract
From the Mediterranean to the Canadian prairies, flax has been, and continues to be, an important crop. Divergent selection has resulted in fibre flax and oilseed flax (linseed), each with their own important uses. In Canada, it is linseed that is of economic importance. Canadian varieties are grown for the oil that is produced in their seeds, which has uses in the industrial, human food, and animal food sectors. Though there were once a number of flax breeding programs across the country, there now remains only one. The flax breeding program at the University of Saskatchewan, having survived a tumultuous chapter after the identification of genetically modified flax threatened the Canadian flax industry, remains strong. The program continues to breed flax with improvement to yields, oil profile, disease resistance, and other traits of agronomic importance. More recently, additional emphasis has been placed improving traits of interest to end-users and addressing a variety of environmental crop stresses. Join us for a look at the struggles, successes, and recent advances of flax breeding in Canada. Link to Video Presentation: https://youtu.be/GBGtTBHJp7k
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.101 | 0.019 |
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".