Bibliographic record
Abstract
Pusa hispida Schreber 1775 Pusa hispida Schreber 1775, Die Saugethiere, Vol. 2, 13: pl. 86 [1775]; see also text 3 (17): 312 [1776]. Type Locality: "Man fängt ihn auf den Küsten von Grönland und Labrader". Vernacular Names: Ringed Seal. Subspecies:: Subspecies Pusa hispida subsp. hispida Schreber 1775 Subspecies Pusa hispida subsp. botnica Gmelin 1788 Subspecies Pusa hispida subsp. ladogensis Nordquiest 1899 Subspecies Pusa hispida subsp. ochotensis Pallas 1811 Subspecies Pusa hispida subsp. saimensis Nordquist 1899 Distribution: Arctic Ocean and coastal regions of Açôres (vagrant), Canada (Nettilling Lake, Baffin Isl), China (vagrant: Jiangsu), Estonia, Finland (Saimaa Lake), Germany (vagrant), Greenland, Japan (Hokkaido, vagrant: Shikoku, Kyushu), Latvia, Lithuania, Norway, Portugal (vagrant), Russia (Okhotsk, Bering, and Baltic Seas), Sweden, USA (vagrant: New Jersey, California). Conservation: U.S. ESA – Endangered as Phoca hispida saimensis; IUCN – Endangered as P. h. saimensis, Vulnerable as P. h. botnica and P. h. ladogensis, Lower Risk as P. hispida and as P. h. ochotensis. Discussion: Placed in Pusa Scopoli, 1771, by Scheffer (1958) and Rice (1998). Mohr (1952) described successful mating in captivity between Pusa hispida and Halichoerus grypus.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.016 | 0.006 |
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".