Terry L. Erwin: She Had a Black Eye and in Her Arm She Held a Skunk
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
Terry L. Erwin is Curator of Coleoptera at the Smithsonian Institution, National Museum of Natural History, in Washington, D.C. and editor-in-chief of ZooKeys . He generated significant controversy in 1982—which continues to this day—when he published an estimate of 30 million species on Earth, which was substantially more than the nearly one million described species. He was born 1 December 1940 in St. Helena, California and spent his youth trout fishing with his maternal grandfather in the High Sierra near Lake Tahoe. As a teenager, with prodding from his father, he built hot rod cars and was a founding member and later President of the California Conquistadores, a hot rod club in the San Francisco Bay area. Erwin earned his B.S. (1964, Biology) and M.A. (1966, Biology) degrees from San Jose State College. With a desire to learn from the three greatest living carabidologists, he first obtained a Ph.D. (1969, Entomology) from University of Alberta under the direction of George Ball. This was followed by a post-doctoral fellowship at Harvard University's Museum of Comparative Zoology with Philip J. Darlington, Jr. During that year, a position opened at the (then) United States National Museum in the Department of Entomology, which he accepted, but two months after taking the job, he departed for a year-long sabbatical at Lund University in Sweden, where he completed the carabidology “trifecta” under the mentorship of Carl H. Lindroth. While in Sweden, the Chairman of Entomology at the USNM changed from Karl Krombien to Paul D. Hurd, who saw on his desk a proposal left by Terry to study California carabid beetles. Learning that grant money was available for research in …
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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