Name-bearing type specimens in the Canadian National Collection of Insects, Arachnids & Nematodes (CNC): Blattodea, Dermaptera, Notoptera, Mecoptera, Megaloptera, Myriapoda, Neuroptera, Odonata, Orthoptera, Phthiraptera, Pseudoscorpiones, Psocoptera, Raphidioptera & Siphonaptera
Bibliographic record
Abstract
A catalogue is provided for the name-bearing types of most of the less diverse arthropod groups deposited in the Canadian National Collection of Insects, Arachnids Nematodes (CNC). There are 90 name-bearing types of Myriapoda [Chilopoda (3 types), Diplopoda (2)], Arachnida [Pseudoscorpiones (1)], and Insecta [Blattodea (1), Dermaptera (1), Notoptera (3), Mecoptera (3), Megaloptera (2), Neuroptera (11), Odonata (2), Orthoptera (5), Phthiraptera (2), Psocoptera (10), Raphidioptera (1) and Siphonaptera (43)]. Three myriapod syntypes are represented by an unknown number of specimens. Holotypes for Plesiorobius canadensis Klimaszewski Kevan (Neuroptera) and Sphaeropsocoides canadensis Grimaldi Engel (Psocoptera) are amber-preserved fossils. Portions of the holotype of Chaetospania assamensis Sakai are considered lost, as are an unknown number of syntype specimens for the centipede species Ethopolys alaskanus Chamberlin and E. integer Chamberlin. Collembola types were treated in Stebaeva et al. (2016), and Araneae, Ephemeroptera, Plecoptera and Trichoptera will be treated in future catalogues, completing inventories for the orders without associated research staff in the CNC. Definitions of relevant type specimens are provided, as is a preliminary summary of all 16,710 name-bearing type specimens held by the CNC, including those of the more diverse orders for which there are associated research staff: Nematoda, Acari, Coleoptera, Diptera, Hemiptera/Thysanoptera, Hymenoptera and Lepidoptera.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.080 | 0.022 |
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".