Stenus (Nestus) brivioi Puthz 1972
Bibliographic record
Abstract
Stenus (Nestus) brivioi Puthz, 1972 Stenus (Nestus) brivioi Puthz, 1972c: 12. Stenus brivioi – Puthz 1972b: 171 (note). — Puthz 1975a: 124. Stenus (s. str.) brivioi – Campbell & Davies: 110. Stenus vinnulus – Casey 1884: 112 (pars). Material examined CANADA: 1 ♂, Alberta, 5 km W. Ashmont Rte. 28A, Camas-lily marsh, 12 Jun. 1977, G.E. Ball leg. (UASM); 1 ♂, Yukon Territory, Proctor’s Saw Mill, on Stewart River, 63°33’30”N 137°25’W, collected by treading grass tussocks 2’–8’ from shore of pond, 3 Jul. 1977, R.E. Morlan, J.V. Matthews, R.E. Roughley leg. (Yukon Refugium Project) (UASM). Remarks Terra typica: USA: Michigan, Maryglade College, E. of Memphis, Macomb Co; Paratype: Eagle Har., L.[ake] Sup.[erior]. Puthz (1972a) attributed paralectotypes of S. vinnulus Casey, 1884 (see below) from White Fish Point to S. brivioi as well, and also reported the latter for Quebec, Canada (1975). Campbell & Davies (1991), without citing material, reported S. brivioi for Alaska and most provinces of Canada (excluding British Columbia and Prince Edward Island).
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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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".