Bibliographic record
Abstract
Mike, Nadia. The Muskox and the Caribou. Illustrated by Tamara Campeau. Iqaluit, Nunavut, Inhabit Media, 2017. In simple, sensitive, and well-structured prose, Nadia Mike relates the story of a lost muskox calf that is adopted by a female caribou. Her own fawn, like the other newborns in the herd, is short haired, long legged, and agile. The musk ox calf, by comparison, is shaggy, stocky, and stumpy. The herd’s young caribou tend either to ignore or reject him. The doe, however, instinctively protects him until he is mature enough to find his way to a muskox herd. The story is not sentimentalized; neither is it excessively anthropomorphized. Admittedly, the young caribou “giggle” as the muskox attempts to splash in the pond with them and the little muskox wonders, “Why do they make fun of me?” Anthropomorphizing to this degree seems reasonable in conveying to young children that animals of one species are instinctively cautious, sometimes hostile, toward those of another. Mike’s storyline is expertly enhanced by the line drawings and delicate colour palette of Tamara Campeau. An experienced wildlife illustrator, Campeau presents a realistic picture of both Canada’s tundra, and the animals which inhabit it in spring and summer. As well as a heart-warming story, there is an introduction to the natural sciences here, an opportunity to discuss the concept of species, to study a little further our northern ecosystems, and to explore the mothering instinct that leads a female of one species to temporarily adopt the infant(s) of another. Primary school teachers, school and public librarians, and parents across the nation would find this book an excellent introduction to the nature and culture of Canada’s Arctic. Hats off to Nunavut’s first independent publishing house for this fine piece of children’s literature. Highly recommended: 4 out of 4 starsReviewer: Leslie Aitken Leslie Aitken’s long career in librarianship involved selection of children’s literature for school, public, special and academic libraries. She was formerly Curriculum Librarian for the University of Alberta.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| 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".