Annotated catalogue of the Laniatores of the New World: (Arachnida, Opiliones)
Bibliographic record
Abstract
All the systematic literature (774 references) of the suborder Laniatores of the Americas up to year 2002 is tabulated to generate a thorough annotated classification. 2372 species in 746 genera of Laniatores of the New World are listed. 26 families of Laniatores are recognized as valid, of which 21 occur in the New World. The most diverse family is Gonyleptidae (823 species), followed by Cosmetidae (710 species), both endemic to the New World. Synonymies, revalidations, replacement names and emended spellings are done when necessary. The complete list of nomenclatural acts herein proposed is given. The new family Escadabiidae Kury & Pérez is proposed, the new subfamily Ampycinae Kury is proposed in Gonyleptidae. Countries and ultramarine departments included are 1) South America: Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, French Guyana, Guyana, Paraguay, Peru, Suriname, Trinidad and Tobago, Uruguay and Venezuela; 2) Central America: Belize, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama; 3) Antilles: Bahamas, Bermuda Island, Caicos Islands, Cayman Islands, Cuba, Dominican Republic, Haiti, Jamaica, Leeward Islands, Netherland Antilles, Puerto Rico, Tortuga Island, UK Virgin Islands, U.S. Virgin Islands, Windward Islands; 4) North America: Canada, Greenland, Mexico, U.S.A. First order administrative divisions (departments, provinces, states) for all most diverse countries are interpolated in the locality names. A list of species by first order administrative divisions is provided for all countries treated. The most diverse country is Brazil, with 855 species of Laniatores, followed by Venezuela with 328 species. An exhaustive list of the depository institutions of the type material with curators and contacts addresses is given.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.015 | 0.011 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.090 | 0.035 |
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".