An Integrative Taxonomic Review of the Quedius erythrogaster Mannerheim Species Group in North America (Coleoptera: Staphylinidae: Quediini)
Bibliographic record
Abstract
Like many other members of the Microsaurus Dejean lineage of Quedius Stephens (Staphylinidae: Staphylininae: Quediini), rove beetles of the erythrogaster species group are facultatively or obligately associated with microhabitats within the nests of insects, mammals and, possibly, tree cavity-nesting birds. Generally, these cryptic and difficult to access microhabitats have been poorly surveyed in North America compared to Central Europe. This has resulted in limited material for taxonomists and several species likely remain to be discovered. Here we review species concepts in the erythrogaster group using newly available Nearctic material, including some extensive samples from mammal burrows. Using evidence from both morphological and CO1 barcode data, we propose the treatment of eight species, including four new species: Quedius alesi Brunke, new species, Quedius miltoni Brunke, new species, Quedius pinetis Brunke, new species, and Quedius praticola Brunke, new species. A phylogenetic analysis of the molecular data resolved two major clades within the erythrogaster group, the erythrogaster and compransor complexes. It also corroborated morphological evidence that Palearctic myrmecophile Quedius brevis Erichson belongs to the erythrogaster group and suggests that other Palearctic species could belong here upon further examination.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".