The Biology of Canadian Weeds. 154. Himalayan blackberry
Bibliographic record
Abstract
Gaire, R., Astley, C., Upadhyaya, M. K., Clements, D. R. and Bargen, M. 2015. The Biology of Canadian Weeds. 154. Himalayan blackberry. Can. J. Plant Sci. 95: 557-570. Himalayan blackberry, an invasive weed in Canada, is particularly problematic in southwestern British Columbia. Isolated occurrences have also been recorded in Ontario. The nomenclature of this species has been under review recently; Rubus armeniacus Focke, R. discolor Weihe & Nees, and R. bifrons Vest have been frequently applied, as well as R. procerus auct. Non P. Muell. Ex Genev, Rubus praecox Bertol., R. vestitus Weihe and others. Himalayan blackberry microspecies in North America are within the species aggregate R. fruticosus L. Because the Canadian material has yet to be analysed genetically we refer to the species by the common name Himalayan blackberry in this account. Because of its vigorous growth in temperate, moist environments, it has become a problem weed in the Pacific Northwest, where it outcompetes native plant species by shading. It reproduces by seeds and vegetatively, forming dense thickets. Although humans value blackberries harvested from Himalayan blackberry and the plant also provides habitat and food for wildlife, management to prevent excessive growth is recommended. Nesting songbirds preferred more diverse, “natural” forest types over Himalayan blackberry-dominated thickets in southwestern British Columbia. Chopping, cutting, mowing or browsing by goats and/or herbicide application are effective management strategies but require diligence to prevent vegetative re-growth. A leaf fungal rust, Phragmidium violaceum (Schultz) Winter, has recently become a major pathogen of Himalayan blackberry in Oregon, and was found to occur in British Columbia in 2008.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".