Rhodiola rosea Cultivation in Canada and Alaska
Bibliographic record
Abstract
Rhodiola rosea in commerce is traditionally sourced from wild crafting. In recent years, attempts have been made to bring the crop into cultivation (Galambosi 2006). In North America, Alberta, and Alaska, it has been at the forefront of this emerging crop industry. In 2012, Rhodiola under cultivation occupied about 20 ha in the province of Alberta, Canada, and about 3 ha in Alaska, United States. Besides its importance as natural health product, Rhodiola provides full or part-time employment to over 150 growers in Alberta and over 20 growers in Alaska. In Alberta, Rhodiola is grown in the Boreal Plains and the northern part of the Prairies ecozone. In Alaska, growers are located in the MatSu Valley, Bethel, Delta Junction, Trapper Creek, Homer, Chickaloon, Fairbanks, Nenana, and Anchor Point (Illig 2011). The Rhodiola growing areas in Alberta have a continental, semiarid climate. Precipitation from May to August varies from slightly below 200 mm to more than 325 mm in the mountains. Temperatures are generally higher in southern than northern Alberta. The July average daily temperature ranges from warmer than 18°C in the south to cooler than 13°C in the Rocky Mountains and the north. Arctic air masses in the winter produce extreme minimum temperatures varying from cooler than –54°C in northern Alberta to –46°C in southern Alberta. Annual bright sunshine totals range between 1900 and 2500 h/year (Chetner et al. 2003). The normal climate for Edmonton and High Level in Alberta and Palmer Alaska is given in Table 5.1.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".