Sciurus (Sciurus) niger Linnaeus 1758
Bibliographic record
Abstract
Sciurus (Sciurus) niger Linnaeus 1758 Sciurus (Sciurus) niger Linnaeus 1758, Syst. Nat., 10th ed., Vol. 1: 64. Type Locality: "in America septentrionalis." Restricted by Thomas (1911 a:149) to S South Carolina (USA). Vernacular Names: Eastern Fox Squirrel. Subspecies:: Subspecies Sciurus (Sciurus) niger subsp. niger Linnaeus 1758 Subspecies Sciurus (Sciurus) niger subsp. avicinnia A H. Howell 1919 Subspecies Sciurus (Sciurus) niger subsp. bachmani Lowery and Davis 1942 Subspecies Sciurus (Sciurus) niger subsp. cinereus Linnaeus 1758 Subspecies Sciurus (Sciurus) niger subsp. limitis Baird 1855 Subspecies Sciurus (Sciurus) niger subsp. ludovicianus Custis 1806 Subspecies Sciurus (Sciurus) niger subsp. rufiventer E. Geoffroy 1803 Subspecies Sciurus (Sciurus) niger subsp. shermani Moore 1956 Subspecies Sciurus (Sciurus) niger subsp. subauratus Bachman 1839 Subspecies Sciurus (Sciurus) niger subsp. vulpinus Gmelin 1788 Distribution: Texas (USA) and adjacent Mexico, north to Manitoba (Canada) east to the Atlantic Coast. Conservation: U.S. ESA – Endangered as S. n. cinereus; nonessential experimental population in Sussex Co., Delaware (USA); IUCN – Data Deficient as S. n. vulpinus, Lower Risk (conservation dependent) as S. n. avicinnia and S. n. cinereus, Lower Risk (nt) as S. n. shermani, otherwise Lower Risk (lc) as S. niger. Discussion: Subgenus Sciurus (Hall, 1981:427). Reviewed by Koprowski (1994 a, Mammalian Species No. 479).
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.019 | 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".