Longitude differentiation of the hypoarctic butterfly fauna (Lepidoptera, Papilionoidea)
Bibliographic record
Abstract
The article analyzes the longitude-sector differentiation of the hypoarctic butterfly fauna. The authors estimate the species richness of the Papilionoidea superfamily in the hypoarctic zone for 120-130 native species. The richness of native species in the butterfly faunas of particular geographical sectors is about twice as less and relatively stable in the circumpolar perspective from Fennoscandia to Labrador. But, the species composition, geographical and landscape-zonal structure of regional butterfly faunas undergo serious changes. The Beringian species complex is highly specific and consists mainly of montane and arctic-montane species whose distribution is limited by the East Asian and West American sectors. The distribution analysis of species allowed us to conclude that the hypoarctic butterfly fauna is very heterogeneous. The zoogeographic unity of the Hypoarctic is not clearly manifested on the example of butterflies.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".