Bibliographic record
Abstract
Labrador teas are a small but systematically complex group of species of the Ericaceae family. The group is represented by cold-resistant evergreen shrubs, common in the boreal and subarctic zones of the northern hemisphere, both in Eurasia and North America. Described historically as part of the distinct genus Ledum L., Labrador teas were later included in the genus Rhododendron as a subsection Ledum in subgenus Rhododendron. The high variability of morphological characters, their dependence on geographical and environmental factors, makes it difficult to clearly distinguish from 4 to 9 described taxa. Labrador teas play a key ecological role as dominants in damp communities of temperate and cold climates and are often pioneers in successional communities of disturbed habitats. This species complex is also interesting as a model group for studying the processes of hybridization and diversification, since different species tend to coexist in sympatry, especially in northeast Asia. This review summarizes the results of studying the species diversity of Labrador teas, mainly in Northeast Asia, changes in their taxonomy and hypotheses of origin.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".