Melanoplus frigidus subsp. frigidus
Bibliographic record
Abstract
Melanoplus frigidus frigidus (Boheman, 1846), comb. resurr. Melanoplus frigidus frigidus: Bey-Bienko & Mistshenko, 1951: 233; Mistshenko, 1952: 425; Mistshenko, 1971: 576; Vickery & Kevan, 1983: 863; Ryabukhin & Zasypkina, 2005: 307; Ermakova, 2011: 20; Ermakova et al., 2016: 126. Melanoplus frigidus: Miram, 1933: 41; Berman et al., 1983: 345. Podisma frigida: Miram, 1928: 19; Miram, 1931: 44. Bohemanella frigida: Ramme, 1951: 18; Vickery, 1984: 18; Haberski et al., 2021: 34. Bohemanella frigida frigida: Vickery, 1997: 229. Remarks. The genus Melanoplus Stål, 1873 consists of about 200 species in 27 species groups (Cigliano et al., 2022). The monotypic genus Bohemanella Ramme, 1951 was proposed for Melanoplus frigidus distributed in Eurasia and North America (Ramme, 1951), while Mistshenko (1952: 422; 1971: 577) based on the critical analysis of taxonomic characters synonymized Bohemanella under Melanoplus. Here I agree with such synonymy and again placed frigidus in the genus Melanoplus, where this species forming its own species group frigidus. The nominotypical subspecies has a very wide distribution in Europe, Asia, and North America. In Beringia, it is recorded from Northeast Yakutia, Magadan region, Chukotka, Alaska, Yukon, and the Northwest Territories.
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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 | 0.000 |
| 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) | 0.004 | 0.002 |
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".