Summary of fossil vertebrate taxa named by Richard C. Fox, with an annotated list of taxa named between 1962 and 2012 and new photographs for non-mammalian therapsid and mammalian holotypes erected between 1968 and 1994
Bibliographic record
Abstract
Beginning in 1962 and extending to the present, Richard C. Fox and colleagues have named 87 species of fossil vertebrates (1 fish, 4 amphibians, 2 choristoderes, 12 lizards, 1 crocodile, 1 dinosaur, 2 “pelycosaurs”, 2 non-mammalian therapsids, and 62 mammals) and numerous new supraspecific taxa. Virtually all of these species continue to be accepted, although the higher-level assignments of several have been altered. The vast majority of the named species were founded on specimens, collected during the mid-1960s to early 2000s by field parties under Fox’s direction, from the Late Cretaceous (late Santonian to late Maastrichtian) and Paleocene of Alberta and Saskatchewan, Canada, and that are housed at the University of Alberta Laboratory for Vertebrate Paleontology. Here we present (i) an annotated list of all fossil vertebrate species named by Richard Fox between 1962 and 2012, (ii) updated information on the stratigraphic nomenclature and age estimates for the eight localities in Alberta that yielded holotypes for all the Cretaceous mammal species named by Richard Fox from that province, and (iii) new photographs for the holotypes of the one non-mammalian therapsid and 43 Late Cretaceous and Paleocene mammal species named by Richard Fox before 1995.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 0.010 |
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".