La lande basse à Diapensia lapponica de l’archipel de Saint-Pierre et Miquelon et sa signification biogéographique
Bibliographic record
Abstract
Summary. — The low Diapensia lapponica heathland of Saint-Pierre and Miquelon Archipelago ; its biogeographical significance — The summits of Saint-Pierre and Miquelon archipelago are colonized by a plant community of open low heathland, whose plant composition shows a high concentration of nano-chamaephytes with arctic-alpine distribution, such as Arctostaphylos alpina, Diapensia lapponica, Loiseleuria procumbens and Salix uva-ursi. This plant community can be classified in the achionophitic alliance Loiseleurio-Diapension, which is a typical unit of arctic tundra (Alaska, Labrador, Greenland, Iceland, Lapland, northern Siberia). In more southern areas dominated by boreal or temperate forests, this unit occurs on high summits (for instance Mounts Otish in the Laurentides, Mounts Chic-Chocs in Gaspésie, Mounts Washington in New Hampshire), where it characterizes an alpine tundra habitat. The occurrence on the summits of Saint-Pierre and Miquelon archipelago of this Diapensia lapponica and Loiseleuria procumbens community assesses their natural asylvatic character during the postglacial period. It constitutes an arctic-alpine tundra community, which surmounts the boreal forest with Abies balsamea. This remarkable altitudinal zonation expresses the transition character of the archipelago vegetation between boreal and arctic bioclimatic areas.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".