Bibliographic record
Abstract
Acrotrichis (s.str.) longipennis (Casey, 1884) — CANADA: New Brunswick, Kouchibougniac N.P.. VIII 1978 leg. S.J. Miller (1, CNC); Québec, Gatineau Park, Ramsay Lake Area 23.V 1971 leg. J.M. Campbell (5, CNC); Ontario, Wheatley 23.VIII 1967 leg. K. Stephan (2, CNC); Alberta, 2.5 mi SE Kananaskis F.E.S. 15.VIII 1970 leg. E.E. Lindquist (1, CNC); U.S.A.: Vermont, Bennington Co., Little Equinox Mt. 1,800 9 25.IX 1976 leg. Newton and Thayer ‘‘berl. litter maple-beech-birch forest’’ (15, MCZ); New Jersey, Burlington Co., Rancocas St. Pk., Rancocas 28.VIII 1976 leg. Newton and Thayer 2 females ‘‘berl. litter mixed hdwd forest’’ (MCZ); Pennsylvania, Somerset Co., Laurel Hill St. Pk 710 m 11.VII 1978 leg. Newton and Thayer ‘‘berl. litter mixed hdwd forest’’ (14, MCZ); New York, Pearl River leg. K.P. Jansson 2 males (ESNN); New Hampshire, Coos Co., 0.7 mi S. Jefferson Notch 880 m 31.VII 1982 leg. Newton and Thayer ‘‘flood debris and wet moss forest stream’’ (2, MCZ); Massachusetts, Middlesex Co., Lincoln 3–17.V 1982 leg. E.T. Armstrong ‘‘windowtrap’’ (5, MCZ); West Virginia, Pendleton Co., 5 mi S. Witner 3,000 9 18.VII 1971 leg. S. Peck ‘‘berl. for.-litter’’ (1, CNC); Virginia, Mountain Lake Biol. Sta., 2 mi N. Mountain Lake 4,000 9 11–12.IX 1967 leg. J.M. and B.A. Campbell ‘‘berlese sample of cranberry bog’’ (1, CNC); North Carolina, Avary Co., Grand Father Mtn., 14.X 1985 leg. R. Baranowski ‘‘ex leaf litter’’ (44, MSUL); Tennessee, Sevier Co., 7.9 mi S. Gatlinburg 3,000 9 21.V 1977 leg. Newton and Thayer ‘‘berl. litter mixed hdwd forest’’ (29, MCZ); Oklahoma, Latimer Co., 19.I 1985 leg. K. Stephan ‘‘under old brush pile’’ (124, MSUL); Illinois, Trelease Woods, Urbana 28.IV 1951 leg. R.K. Benjamin ‘‘ex dead Polypore’ ’ (79, FMNH, MSUL); Indiana, Porter Co., Indiana Dunes St. Pk 25.IV 1959 leg. W. Suter ‘‘stump hole swamp forest’’ (36, FMNH);
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 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.020 | 0.007 |
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".