Case 3745 — Heteronychus Dejean, 1833 (Coleoptera: Scarabaeidae: Dynastinae): proposed conservation of usage by conserving Heteronychus cricetus Hausmann, 1807 as the type species
Bibliographic record
Abstract
The purpose of this application, under Articles 70.2 and 80 of the Code, is to conserve the current and universal usage of the genus name HeteronychusDejean, 1833 for a genus of rhinoceros beetles (Scarabaeidae: Dynastinae). Several species in this genus are important pests in Africa, Asia and Australia. The correct, long-overlooked type species is Geotrupes syrichtusFabricius, 1775, designated by Duponchel (1845), is currently recognized as a valid species and the type species of Syrictes Prell, 1935, a genus placed in a different tribe of Dynastinae. Acceptance of this type species would transfer a widely used name from an economically important to a rarely cited genus, and the economically important genus would need to be named by the scarcely used subjective junior synonym HeteronychidiusPaulian, 1954 with a dubious taxonomic identity. To conserve the usage of the widely used name Heteronychus, it is proposed that all type fixations for this genus preceding that of Heteronychus cricetusHausmann, 1807 by Krell (2002) be set aside.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".