Table 3 in Coleoptera of Brazil: what we knew then and what we know now. Insights from the Catálogo Taxonômico da Fauna do Brasil
Bibliographic record
Abstract
Table 3. Top ten authors with the most valid names for species recorded from Brazil. AuthorNationality Family Number of species Years of publicationMaurice Pic 1 (1866–1957)FrenchAderidae, Anthicidae, Archeocrypticidae, Artematopodidae, Byrrhidae, Callirhipidae, Cantharidae, Chelonariidae, Chrysomelidae, Ciidae, Cleridae, Cneoglossidae, Dermestidae, Endomychidae, Georissidae, Lampyridae, Limnichidae, Lycidae, Lymexylidae, Megalopodidae, Melandryidae, Meloidae, Melyridae, Mordellidae, Mycteridae, Oedemeridae, Phengodidae, Ptilodactylidae, Ptinidae, Ripiphoridae, Salpingidae, Scirtidae, Scraptiidae, Staphylinidae, Tenebrionidae and Zopheridae1,7941894–1956Carl Henrich Boheman 2 (1796–1868)SwedishAnthribidae, Belidae, Brentidae, Buprestidae, Cantharidae, Carabidae, Cerambycidae, Chrysomelidae, Coccinellidae, Curculionidae, Histeridae, Hydrophilidae, Mordellidae, Nitidulidae, Ptilodactylidae, Scarabaeidae, Staphylinidae and Tenebrionidae1,3091829–1862Jan Karel Bechyné 3 (1920–1973)CzechChrysomelidae1,229*1944–1983Carl Fiedler 4 (1864–1955)GermanCurculionidae1,0741932–1954Ubirajara Ribeiro Martins 5 (1932–2015)BrazilianCerambycidae, Disteniidae and Erotylidae1,008*1959–2016Henry Walter Bates 6 (1825–1892)EnglishCarabidae, Cerambycidae, Chrysomelidae, Disteniidae, Endomychidae, Geotrupidae, Hybosoridae, Megalopodidae, Melolonthidae, Scarabaeidae and Tenebrionidae7381861–1891Thomas Lincoln Casey 8 (1857–1925)AmericanCoccinellidae, Curculionidae, Melolonthidae and Staphylinidae6571890–1922David Sharp 7 (1840–1922)EnglishAttelabidae, Bothrideridae, Brentidae, Carabidae, Chrysomelidae, Dytiscidae, Elmidae, Epimetopidae, Hydrochidae, Hydrophilidae, Laemophloeidae, Limnichidae, Melolonthidae, Monotomidae, Nitidulidae, Noteridae, Staphylinidae and Zopheridae6231874–1905Alphonse-Adrien Hustache 1 (1872–1949) FrenchAttelabidae, Belidae and Curculionidae6111922–1951Maria Helena Mainieri Galileo (b. 1950) BrazilianCerambycidae and Disteniidae535*1977–2018 *Some species-group names published with co-authors. 1 Constantin (1992); 2 Stål (1869); 3 Anonymous (1974); 4 Groll (2016b); 5 Galileo and Santos-Silva (2015); 6 Ferreira (2004); 7 Smetana and Herman (2001).
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.007 |
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".