Contributions to the knowledge of the Aleocharinae (Coleoptera
Bibliographic record
Abstract
Since 1970, 203 species of Aleocharinae have been recorded in the Maritime Provinces of Canada, 174 of which have been reported in the past decade. Th is rapid growth of knowledge of this hitherto neglected subfamily of rove beetles occasions the present compilation of species recorded in the region together with the chronology of their discovery. Sixteen new provincial records are reported, twelve from Nova Scotia, one from New Brunswick, and three from Prince Edward Island. Seven species, including Oxypoda chantali Klimaszewski, Oxypoda perexilis Casey, Myllaena cuneata Notman, Placusa canadensis Klimasze-wski, Geostiba (Sibiota) appalachigena Gusarov, Lypoglossa angularis obtusa (LeConte), and Trichiusa postica Casey [tentative identifi cation] are newly recorded in the Maritime Provinces, one of which, Myllaena cuneata, is newly recorded in Canada. A preliminary analysis of the composition of the fauna indicates that the percentage of adventive species (18.2%) is consistent with that of other groups of Coleoptera. Both Cape Breton Island and Prince Edward Island are comparatively faunistically under-represented, in all probability as a result of insuffi cient collecting eff ort in these areas. A species accumulation curve
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".