Nomenclatorial changes in Triaenonychidae: Sclerobunus parvus Roewer is a junior synonym of Paranonychus brunneus (Banks), Mutusnonychus Suzuki is a junior synonym of Paranonychus Briggs, and Kaolinonychinae Suzuki is a junior synonym of Paranonychinae Briggs (Opiliones: Triaenonychidae)
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
The harvestman species Sclerobunus parvus was described by Roewer (1931) from the Queen Charlotte Islands, British Columbia, Canada. Some forty years later, Briggs (1971) revised the Triaenonychidae of North America, but missed including Roewer’s species, which had not been mentioned in the literature since its description. Briggs (1971) recognized two subfamilies in North America, Triaenonychinae Sørensen 1886 (Briggs attributed the subfamily name to Pocock, but according to the International Code of Zoological Nomenclature, Sørensen’s original proposal of the family name included the nominate subfamily) and Paranonychinae Briggs 1971. Paranonychinae included two new genera, Metanonychus Briggs 1971 and Paranonychus Briggs 1971. The latter genus was based on Sclerobunus brunneus Banks 1893, a commonly occurring species distributed from Clackamas County, Oregon, north to Atka Island, Alaska (Briggs 1971).
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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