Bibliographic record
Abstract
Oligota parva Kraatz, 1858 PRINCE EDWARD ISLAND: Kings Co.: Launching, 26.VIII.2003, C.G. Majka, ocean beach: under coastline drift at the top of the littoral zone, (4, CGMC). Oligota parva (Fig. 2) is newly recorded in Canada (Fig. 12). It has been previously recorded from California, Massachusetts, Missouri, and Texas (Moore and Legner 1975). It has been introduced to the western Palearctic and northern Africa and is now widespread there (Horion 1967; Smetana 2004). It is found in compost, on dung, in fermenting materials, in old hay and grass, and in other decomposing situations (Horion 1967). The ecology of Oligota species are not well known, however, at least some species prey on mites (Frank et al. 1992). While O. parva has not previously been reported as a beach drift species, all the specimens collected on Prince Edward Island were found in this habitat. One European species, Oligota pusillima Gravenhorst, 1806 has been recorded in decaying seaweed (Fowler 1888; Moore and Legner 1975). Other characteristic beach drift species collected together with O. parva at Launching (PEI), include Atheta acadiensis, Strigota ambigua (see below) [Staphylinidae], Hypocaccus fraternus (Say, 1825) [Histeridae], Monotoma producta LeConte, 1855 [Monotomidae], and Blapstinus metallicus (Fabricius, 1801) [Tenebrionidae].
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 | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.009 |
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".