Bibliographic record
Abstract
Distoleon bistrigatus (Rambur, 1842) Myrmeleon bistrigatus Rambur, 1842: 391. Type Locality: France (French Polynesia: Tahiti [Taïti]). Myrmeleon perjurus Walker, 1853: 340. Type Locality: United States (Hawaii). Myrmeleon striolus Walker, 1853: 340. Type Locality: Australia. Myrmeleon torvus Walker, 1853: 341. Type Locality: Country unknown, probably Malaysia. Myrmeleon violentus Walker, 1853: 348. Type Locality: United States (Hawaii). Formicaleo acuminatus Okamoto, 1910b: 290. Type Locality: Japan (Okinawa: Yaeyama Islands [Yayeyama]). Formicaleon brahmanicus Banks, 1913d: 142. Type Locality: India (Bihar: Pusa). Formicaleo yayeyamensis Matsumura, 1931: 1156. Type Locality: Japan (Okinawa: Yaeyama Islands [Yayeyama]). Indian distribution: Bihar: Samastipur Dist.: Pusa (town); Himachal Pradesh: Solan Dist.: Saproon (village); (Banks 1913d: 142; Ghosh 1977a: 37; Ghosh & Sen 1977: 305; Ghosh 1984: 53). World distribution: Australia, China, Federated States of Micronesia, Fiji, France, India, Japan, Palau, Papua New Guinea, United States, Vanuatu (Rambur 1842: 391; Walker 1853: 340; McLachlan 1883: 301; Okamoto 1910b: 290; Banks 1913d: 142; Esben-Petersen 1939: 141; Adams 1959: 16; New 1990: 14; Krivokhatsky et al. 2012: 570; Oswald 2024a).
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 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".