The Coccinellidae (Coleoptera) of the Maritime Provinces of Canada: new records, biogeographic notes, and conservation concerns
Bibliographic record
Abstract
New records of Coccinellidae in the Maritime Provinces of Canada are reported. The known fauna of the region consists of 47 species: 41 in Nova Scotia, 39 in New Brunswick, and 21 in Prince Edward Island. Of these, records are provided for 13 species newly recorded from Nova Scotia and 14 from Prince Edward Island. Two species, Diomus amabilis (LeConte) and Naemia seriata seriata Melsheimer, are newly recorded in Canada. Didion punctatum (Melsheimer) is removed from the fauna of PEI, and Coccidula lepida LeConte is removed from the fauna of NS, and Scymnus impexus Mulsant is removed from the faunas of NS and NB. Records of two adventive species not established in the region are also reported. Collecting effort in the three provinces and their sub-regions is briefly analyzed and compared. Biogeographic observations are provided in relation to the composition of the fauna as a whole, and of disjunct populations of six Nova Scotia coccinellids, several of which appear to be members of a coastal plain fauna that extends from New England to southern Nova Scotia. The potential vulnerability of the coccinellid fauna is discussed in the context of both adventive species in the region, and habitat loss and conservation.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".