(305) Plant Propagation Protocol for Gardeners of Ten Species Native to Southeast Alaska
Bibliographic record
Abstract
Ten plant species native to southeast Alaska and surrounding regions were selected based on their value as ornamentals, food crops, disturbed site revegetation, and traditional Native American uses. Between 2003–05, seeds, cuttings, rhizomes, and bulbs from the 10 native plant species were collected in Sitka, Alaska, and propagated according to existing plant propagation protocol for each species. The most successful propagation method for each species was determined from field trials. This information was provided through workshops and Extension publications to gardeners in southeast Alaska and other parts of Alaska. The purpose of this project was to enhance growing local native plants as ornamentals, food crops, in disturbed site revegetation and for traditional Native American uses, particularly among native elders unable to collect these plants in the wild. A secondary purpose was to create a market for native plants in southeast Alaska and spawn a cadre of local cottage market gardeners to grow native plants for existing small nurseries. The 10 species selected included: Cornus canadensis, C. stolonifera, Empetrum nigrum, Fritillaria camschatcensis, Linnaea borealis, Oplopanax horridus, Rubus chamaemorus, Vaccinium parvifolium, Vaccinium ovalifolium, and Viburnum edule .
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.016 |
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".