Bibliographic record
Abstract
Sammurtok, Nadia. The Owl and the Two Rabbits. Iqaluit, NU: Inhabit Media, 2019. Nadia Sammurtok, author of several children’s books including Caterpillar Woman and Siuluk: The Last Tuniq, has written stories of tundra animals. Like many Inuit children’s stories, this one is cautionary, teaching children not to play in dangerous places. In this story two small rabbits, who have been told to “remain hidden when they played outside,” get carried away jumping and attract the attention of an owl who wants to eat them. They escape by outwitting the owl and working together, two common survival themes in Inuit children’s stories. Marcus Cutler’s artwork is bright and fun. Often northern scenes are portrayed as muted or dark, but Cutler’s skies are orange, red or purple, and the grasses are vivid greens and yellows. Small children will be able to enjoy the pictures on their own, but the text will require an older reader. While this book is not meant to be realistic—the animals speak and small rabbits are able to push a huge rock—Sammurtok does include some real animal behaviour from which children can learn. For example, “the rabbits' brown coats blended in with the tundra” and they freeze when threatened. Overall this is an enjoyable volume which would be a good addition to public libraries and elementary school libraries. Highly recommended: 4 out of 4 starsReviewer: Sandy Campbell Sandy is a Health Sciences Librarian at the University of Alberta, who has written hundreds of book reviews across many disciplines. Sandy thinks that sharing books with children is one of the greatest gifts anyone can give.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.030 | 0.017 |
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".