Catalogue of Genus-Group Names in Alleculinae (Coleoptera: Tenebrionidae)
Bibliographic record
Abstract
Herein we provide a nomenclatural review of the world Alleculinae genus-group names. Author, year of publication, type species, and type fixation are included for each name. Five fossil genera as well as 188 extant genera and 41 subgenera are considered valid. The following new replacement names are proposed: Borchmannius Bousquet and Bouchard for GlyptothoraxBorchmann, 1937; Piccula Bousquet and Bouchard for GerardiaPic, 1954. The type species of the following genus-group names are designated: ErxiasChampion, 1888 (Erxias bicolorChampion, 1888), LobopodaSolier, 1835 (Lobopoda striataSolier, 1835), MenesChampion, 1888 (Menes meridanusChampion, 1888), PlesiaKlug, 1833 (Plesia melanuraKlug, 1833) and PleuromophlusReitter, 1906 (Omophlus baudueri Baudi, 1877). The following new synonymies are introduced: ParomophlusIablokoff-Khnzorian, 1983 (with PhibalusGistel, 1856); PleuromophlusReitter, 1906 (with OdontomophlusSeidlitz, 1896). LepturideaFauvel, 1862 is considered the valid name for AethyssiusPascoe, 1863. Three remaining nomenclatural problems (cf. Otys Champion, Prostenus Klug, and Odontomophlus Seidlitz) will require applications to the International Commission on Zoological Nomenclature to promote stability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.013 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.008 |
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".