Bibliographic record
Abstract
Christopher, Neil. On the Shoulder of a Giant: an Inuit Folktale. Iqualuit: Inhabit Media, 2015. Print.This is another in a series of works designed by Neil Christopher, one of the founders of Inhabit Media, to preserve traditional Inuit stories. In this book he retells a story, which is known in various forms all across the Arctic, of a giant who adopts a hunter as his son. This giant, named Inukpak, is one of the inukpasugjuit or “great giants” of Inuit stories. Inukpak is so big that he can walk across the Arctic in “just a few days” and when he stands in the sea the water "never come[s] up past his knees". He is so big that he thinks that the hunter is a lost child, so he adopts him and carries him on his shoulder.This is a simple retelling, designed to teach about the mythical giants and to explain why the story is found in many cultures across the Canadian Arctic. However, it also models a big person/small person relationship in which small people do not correct or talk back to big people. Children will relate to the hunter, who is treated as a child and because the story is told from the hunter's perspective. The giant sometimes doesn't recognize the impact of his own actions. For example when he runs back to shore, he creates waves that swamp the hunter, but the giant thinks the hunter has been playing in the water. "The hunter wanted to tell the giant that he had not been playing in the water. He also wanted to explain to Inukpak that he had caught a bowhead whale, not a sculpin. But, once again, the little hunter did not want to argue with a giant, so he just said, 'Okay.' "This is mainly a picture book. The illustrations run over two-page spreads with text over-printed on them. Jim Nelson does a good job of presenting the difference in size between the giant and the human. Inukpak is presented as a happy fellow, with black shaggy hair and a full beard. Children will be amused by the giant picking up a polar bear by the scruff of its neck, like a kitten. The images are realistic and the backgrounds are lovely representations of Arctic landscapes. Overall, this is an enjoyable and high-quality work that should be included in elementary school libraries, public libraries and libraries specializing in Arctic children’s books.Highly Recommended: 4 out of 4 starsReviewer: Sandy CampbellSandy 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.031 | 0.005 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".