Bibliographic record
Abstract
Rumbolt, Paula Ikuutaq. The Origin of Day and Night. Iqaluit, NV, Inhabit Media, 2018. This book is another in Inhabit Media’s collection of works that document traditional Inuit stories. Origin stories, which explain why things are the way they are, are common in Inuit storytelling. This one tells us how night and day came to be. In the time when animals and words had special powers, the Tiri, the Arctic fox, and Ukaliq, the Arctic hare, both want to hunt. The fox can see in the dark, so he uses his words to keep the world dark. The hare needs light to see, so she uses her words to bring light. They change night to day and day to night, frustrating each other, until they agree to give each other “enough time to find a meal or two” before changing the light. As a result, we have night and day. Lenny Lishchenko’s illustrations are simple, but support the story effectively. They are mainly in blacks, blues and whites, appropriate to night and day. The animals are outlined in black on white or white on black, with a few details added. There are a few reds and yellows, for the animals’ eyes, the sun, meat and berries. This rendition of the story will capture the interest of the young children, who are the intended audience. Highly recommended for public and elementary school libraries, as well as collections that specialize in polar children’s literature. 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 | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.029 | 0.016 |
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".