Chrysopidae of Canada and Alaska (Insecta, Neuroptera): revised checklist, new and noteworthy records, and geo-referenced localities
Bibliographic record
Abstract
This dataset contains the digitized treatments in Plazi based on the original journal article GARLAND, J. A., KEVAN, D. K. MCE. (2007): Chrysopidae of Canada and Alaska (Insecta, Neuroptera): revised checklist, new and noteworthy records, and geo-referenced localities. Zootaxa 1486 (1): 1-84, DOI: 10.11646/zootaxa.1486.1.1, URL: http://dx.doi.org/10.11646/zootaxa.1486.1.1AbstractThe Chrysopidae of Canada and Alaska, the subject of a study since 1980, including more than 6,000 adults representing 24 species in two subfamilies, are here revised and the localities geo- referenced. The number of specimens, earliest authenticated specimen, new records, flight period, and the localities supported by museum specimens are provided for each species for each province or territory of Canada, as well as the State of Alaska, USA. Localities in literature for which no specimen exists are queried. A directory of collectors is provided. Biological attributes, such as attraction to light, and plants or habitat where specimens were collected, are based on label data. Chrysopa quadripunctata Burmeister and Chrysoperla rufilabris (Burmeister) are reported for the first time from the Province of Manitoba, Canada; and, Meleoma emuncta (Fitch), for the first time from the provinces of Alberta and Saskatchewan, Canada. Nomenclatural changes include: Mallada slossonae Garland, 1996, as a new objective synonym of Dichochrysa macleodi (Adams and Garland, 1983; Mallada) syn. nov., and Dichochrysa perfecta (Banks, 1895), an emendation.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.012 | 0.017 |
| Science and technology studies | 0.001 | 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) | 0.018 | 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".