Bibliographic record
Abstract
Synaptomys (Mictomys) borealis (Richardson 1828) [Arvicola] borealis Richardson 1828, Zool. J., 3: 517. Type Locality: Canada, District of Mackenzie, Great Bear Lake, Fort Franklin. Vernacular Names: Northern Bog Lemming. Synonyms: Synaptomys (Mictomys) andersoni J. A. Allen 1903; Synaptomys (Mictomys) artemisiae Anderson 1932; Synaptomys (Mictomys) bullatus Preble 1902; Synaptomys (Mictomys) chapmani J. A. Allen 1903; Synaptomys (Mictomys) dalli Merriam 1896; Synaptomys (Mictomys) innuitus (True 1894); Synaptomys (Mictomys) medioximus Bangs 1900; Synaptomys (Mictomys) smithi Anderson and Rand 1943; Synaptomys (Mictomys) sphagnicola Preble 1899; Synaptomys (Mictomys) truei Merriam 1896; Synaptomys (Mictomys) wrangeli Merriam 1896. Distribution: Patchy occurrence in boreal habitats, from Alaska to N Washington, USA, eastwards across much of interior Canada to Labrador; disjunct range segment from Gaspe Peninsula, Quebec, to C New Hampshire, USA. Conservation: IUCN – Lower Risk (nt). Discussion: Subgenus Mictomys. Pleistocene records establish the species in the Great Basin, far to the south of its current range (see Mead et al., 1992).
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".