Arctic Wolf by W. Flaherty / Bowhead Whale by J. Karpik / Walrus by H. Paniaq
Bibliographic record
Abstract
Flaherty, William. Arctic Wolf. Illustrated by Sean Bigham. Inhabit Media, 2018. Karpik, Joanasie. Bowhead Whale. Illustrated by Sho Uehara. Inhabit Media, 2018. Paniaq, Herve. Walrus. Illustrated by Ben Shannon. Inhabit Media, 2017. Inhabit Media has published three more volumes in their successful “made in the Arctic” Animals Illustrated Series. Herve Paniaq’s Walrus, Joanasie Karpik’s Bowhead Whale and William Flaherty’s Arctic Wolf follow the pattern of the earlier works in this series (see review https://doi.org/10.20361/G2NM3W). Each book is a natural history of the animal, including range, physical characteristics, diet, babies, and fun facts. Each book also has one or two sections specific to the animal. For example, in Arctic Wolf, there is a section for “Wolves in Human Form.” Both Bowhead Whale and Walrus have sections on “Traditional Uses.” Although there is a different illustrator for each volume, the styles are similar and the content of the images are parallel throughout the three books. For example, page 6 of each book shows a naturally coloured skeleton on a black background, while page 12 is about Babies, and each book shows a mother and baby image. The illustrations are excellent throughout and extend to the end pages. This series would be good research material for elementary school children studying the North. These books are highly recommended for public libraries and elementary school libraries. Highly recommended: 4 out of 4 stars Reviewer: 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.403 | 0.375 |
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".