<i>Stizostedion</i> Rafinesque, (Percidae) is the Valid Generic Name for Walleye, Sauger, and Eurasian Pikeperch
Bibliographic record
Abstract
Abstract Theodore Nicholas Gill’s misconception of Lorenz Okenfuss’s use of the Latvian vernacular name Sander for Cuvier’s French vernacular name Les Sandres, as a properly coined Latin name, led to Gill’s and subsequent authors’ incorrect acceptance of Sander as the senior synonym for Stizostedion. However, some authors, aware Sander is a common name and never proposed as a valid generic name, have continued using the correct generic name Stizostedion. American Fisheries Society guidelines for publication in their journals and the Canadian Journal of Fisheries and Aquatic Sciences requires authors to use the current edition of Common and Scientific Names of Fishes from the United States, Canada, and Mexico, which has incorrectly used Sander in the last two editions. Thus, fishery biologists have been forced to use an incorrect generic name for one of the most important freshwater fisheries of North America.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".