Bibliographic record
Abstract
Genus Kessleria Nowicki Type species. Kessleria zimmermannii Nowicki, 1864, by monotypy. Distribution. Palaearctic region: Europe; Russia (European part, North Caucasus, south of West Siberia, Irkutskaya Oblast’, Zabaikalskii Krai [Transbaikalia], Primorskii Krai, first record); Japan (Honshu, Kyushu); Oriental region: China (Hunan, Zhejiang, Yunnan, Taiwan); Japan (Ryukyu); India (Assam, Mumbai, Punjab); Nearctic region: Canada; USA; Australasian region: New Guinea; New Zealand (Friese 1960; Moriuti 1977, 1981; Huemer & Tarmann 1991, 1993; Lewis & Sohn 2015; Huemer & Mutanen 2015; Ponomarenko & Sinev 2024b). Remarks. The genus Kessleria Nowicki includes 35 species (Huemer & Mutanen 2015; Lewis & Sohn 2015), most of which are Palaearctic: more than 2/3 species are distributed in Europe, and two species are known from Japan. Six species have been recorded in the Oriental region and two more from the Australasian region. In Russia, only five species have been indicated, all of which have fragmented or narrow local ranges (Ponomarenko & Sinev 2024b). In Russia the easternmost locality where Kessleria spp. are known is the Zabaikalskii Krai [Transbaikalia]. Before this study, this genus was not recorded in the fauna of the Russian Far East.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".