Diversity and ecology of northern nearctic «Rhamphomyia» (diptera: empididae)
Bibliographic record
Abstract
ABSTRACT The dance fly genus Rhamphomyia Meigen (Diptera: Empididae) is one of the most dominant and species-rich insect genera in the Nearctic. However, little is known about their spatial distribution and species-richness, making it difficult to assess changes in northern Rhamphomyia as a result of environmental change. This project examines taxonomic (species richness) and ecological (body size) diversity of northern Nearctic Rhamphomyia. An inventory of Rhamphomyia species at 12 sites across northern Canada (4 boreal, 4 low arctic, 4 high arctic) identified 65 species, many of which are undescribed. The highest species richness was in the low arctic, and in particular, in subarctic Yukon Territory. Nearctic Rhamphomyia species usually span the boreal-low arctic biomes, and substantially fewer species are in the high arctic. The first key to the 21 Rhamphomyia species of the Canadian arctic Archipelago, Greenland, and Iceland is provided along with diagnoses of each species. Rhamphomyia vary in body size across latitude. We examined latitudinal and other spatial effects on body size of Nearctic Rhamphomyia. Body size significantly increases with latitude, but only at species-level; smaller species drop out of species assemblages as latitude increases. Rhamphomyia species of the arctic islands are significantly larger than those on the mainland. The Northwest Passage could act as a physical barrier preventing dispersal of smaller Rhamphomyia species to the arctic islands post-glaciation. Other environmental factors of the arctic islands, such as dryness and low temperatures, might also impede smaller Rhamphomyia from successfully colonizing the arctic islands.
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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 | 0.000 | 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) | 0.002 | 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".