Phylogenetic placement and redescription of <scp><i>Aleochara blackburni</i></scp> Bernhauer & Scheerpeltz, 1926 (Coleoptera: Staphylinidae) from coastal Australia
Bibliographic record
Abstract
Abstract Aleochara blackburni Bernhauer & Scheerpeltz (Aleocharinae) is a little‐known coastal rove beetle, not studied since a specimen was collected from coasts in Port Lincoln, South Australia, in 1888. We report the discovery of additional specimens, which were collected at sites distributed between the central‐east and south‐east coasts of Tasmania, Australia. Habitus photographs, a redescription, host records and illustrations of diagnostic characters are provided. To investigate the phylogenetic placement of A. blackburni and taxonomic problems within the Emplenota and Triochara clade, we studied 34 populations of 13 coastal and one inland species and generated a molecular phylogeny of the genus Aleochara Gravenhorst based on three partial mitochondrial genes (COI, tRNA leucine and COII). Our results showed that A. blackburni was the sister group of the bilineata clade + curtula clade and suggested that A. curtidens Klimaszewski (Vancouver, Canada) and A. trisulcata Weise (Chiba, Japan) used in a previous study were misidentifications of A. fucicola Sharp and A. zerchei (Assing), respectively. Five independent origins of specialisation to coastal habitat in the genus Aleochara (clades A–E) are hypothesised, of which A. blackburni has independently colonised the Southern Australian coast (clade E).
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".