Ecological Notes on Animals of the ChurAill Region of Hudson Bay
Bibliographic record
Abstract
ABSTRACT. The distribution and ecology of 26 mammals, 6 birds, and 1 amphib-ian are described. Northern range extensions are recorded for the pygmy shrew, arctic shrew, muskrat, heather vole, northern bog lemming and wood frog. A southern range extension of the arctic ground squirrel is noted following its being observed for the first time in Manitoba. Observation of a great blue heron at Churchill, far from its usual range in southern Manitoba, is also recorded. The number of species of small mammals on two-hectare quadrats in marsh, prairie, shrub, and savanna along the grassland-coniferous forest transition in southern Mani-toba was 1.8 to 3.0 times greater than in beach-meadow, tundra, shrub, and open-forest quadrats along the coniferous forest-tundra transition of northern Manitoba, while the total population was 1.8 to 3.4 times greater. RhUMfi. Notes écologiques sur les animaux de la région de Churchill sur la mer d'Hudson. L'auteur décrit la distribution et l'écologie de 26 mammifères, 6 oiseaux et 1 amphibien. I1 enregistre une extension d'aire vers le nord pour la musaraigne pygmée, la musaraigne arctique, le rat musqué, le campagnol roux, le lemming
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".