Nomenclatura Oligochaetologica—A catalogue of names, descriptions, and type specimens of the Oligochaeta. Editio Secunda
Bibliographic record
Abstract
During the 1950s, Gordon E. Gates (affiliated at that time with Tall Timbers Research Station near Tallahassee, Florida, USA), initiated compilation of a catalogue of scientific names of the Oligochaeta. Gates transferred his account records to John W. Reynolds in 1972, who enlisted the assistance of David G. Cook, an aquatic biologist working in Canada, to complete this catalogue. The first volume of this catalogue, Nomenclatura Oligochaetologica—a catalogue of names, descriptions, and type specimens of the Oligochaeta [N.O.], was published by Reynolds and Cook (1976). Three supplements—Supplementum Primum (Reynolds and Cook, 1981 [N.O.S.P.]), Supplementum Secundum (Reynolds and Cook, 1989 [N.O.S.S.]), and Supplementum Tertium (Reynolds and Cook, 1993 [N.O.S.T.])—were subsequently published, completing the first volume series of this nomenclator. After the retirement of Cook, Reynolds invited Wetzel to assist in the preparation of a fourth supplement to this first volume series. In 2012, the decision was made to forgo completion of a print version for this fourth supplement, redirecting efforts to compile a second edition, specifically to restructure it for presentation as a dedicated and active website.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.021 |
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".