Predaceous Diving Beetles (Coleoptera: Dytiscidae) of the Nearctic Region, with emphasis on the fauna of Canada and Alaska.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Dytiscid beetles comprise a large element within the Canadian fauna yet their identification is difficult for the nonspecialist and the distribution and habitats of the species are only sketchily known. The initial and continued aims are to make the predaceous water beetle fauna of Canada accessible to as wide an audience as possible by summarizing available knowledge of the fauna, documenting the species present and their distribution and habitats, providing means for the identification of the taxa, and indicating where knowledge is especially lacking and where interesting and possibly productive research avenues lie. To achieve these aims it has been necessary to revise several genera, review the systematic position of many taxa and to seek out immature stages of various taxa. Much new information, including descriptions of new taxa, is included in this book. The aim of the work being to aid and encourage others to look at water beetles with increased interest and appreciation and to stimulate research on these poorly understood insects. The Canadian fauna cannot be understood without reference to the overall Nearctic fauna and therefore the scope gradually enlarged over time to include most of the North American fauna. This work treats all Nearctic genera and most species. Detailed treatment is provided for all species known from Canada. Non-Canadian species are treated as fully in some genera, in others these species are included only in keys. Only within genera where some species are too poorly known to allow their definition, are all species not included. The areas with the most incomplete coverage are both the Gulf States and southwestern United States, namely western Texas to southern California. For the rest of the continent, it is hoped that this work will provide a useful identification guide.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it