North American Commission on Stratigraphic Nomenclature
Bibliographic record
Abstract
R. Michael Easton, born in Toronto, has been a geologist with the Ontario Geological Survey since 1982, after studying at the University of Western Ontario (B.Sc. 1972), University of Hawaii, (M.Sc. 1976), and Memorial University of Newfoundland (Ph.D. 1982). He specializes in Proterozoic geology, with an emphasis on chronology, stratigraphy, and mapping. He is the author and coauthor of more than 60 geological maps and 150 papers. He was also the 1996 chair of the North American Commission on Stratigraphic Nomenclature (NACSN).James O. Jones (1935–1999) obtained his B.Sc. degree in geology from Midwestern State University in 1962; his M.Sc. degree from Baylor University in 1964; and his Ph.D. in geology from the University of Iowa in 1971. He first taught at Southern Arkansas University, but spent most of his career, from 1977 onward, at the University of Texas at San Antonio. He retired from the U.S. Army Reserve as a lieutenant colonel in 1995. He was the 1997 chair of the NACSN. Alfred C. Lenz spent most of his career teaching paleontology and stratigraphy at the University of Western Ontario, where he is now an emeritus professor. His primary research interest is the study of graptolites. He was the 1998 NACSN chair. Ismael Ferrusquia-Villafranca, born in Mexico City, obtained his B.Sc. degree in biology from Universidad Mexico in 1964 and his M.Sc. degree in paleontology in 1967 and his Ph.D. in geology in 1970, both from the University of Texas at Austin. He is a senior scientific researcher at the Instituto de Geologia, Universidad Nacional Autonoma de Mexico. He is the author and coauthor of more than 160 publications on the geology and vertebrate paleontology of Mexico. He was the 1999 NACSN chair. Ernest A. Mancini is the regional director of the Eastern Gulf Region of the Petroleum Technology Transfer …
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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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.010 | 0.019 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.033 | 0.027 |
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".