Developments in Raspberry Production, Cultivar Releases, and Intellectual Property Rights: A Comparative Study of British Columbia and Washington State
Bibliographic record
Abstract
The Pacific Northwest (PNW) raspberry industry has undergone substantial structural changes over the last two decades driven by shifts in production and trade and strengthened intellectual property rights to protect cultivars. Since the mid-1980's, Washington raspberry production has increased substantively while British Columbia (BC) production has exhibited a downward decline. Plant breeding in the PNW has been affected by the increased globalization of the raspberry trade and the increased emphasis on plant patents and plant breeder's rights to protect cultivars. The increased emphasis on intellectual property rights to protect cultivars is likely to affect the accessibility of germplasm and the transaction costs of procuring planting material from European breeding programs. Raspberry research in BC has concentrated its efforts in developing improved cultivars with little research on the effects of management practices on fruit yields. The development of improved cultivars in the PNW has relied on conventional or classical breeding approaches. With reduced public support for raspberry breeding research in the PNW, breeding programs rely more heavily on support from industry associations. Future prosperity of the PNW raspberry industry would require developing competitive cultivars and promoting intellectual property protection to stimulate market development and the world-wide dissemination of improved cultivars.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".