Bibliographic record
Abstract
Sammurtok, Nadia. Siuluk: The Last Tuniq. Illustrated by Rob Nix. Inhabit Media, 2018.This picture book, published in both English and Inuktitut syllabic script, tells the story of the last of the Tuniit, or the giants of the Eastern Arctic. The story is connected to a large rock, near Chesterfied Inlet in Nunavut, which is called Siuluk’s Rock. Nadia Sammurtok who is from Rankin Inlet and heard the story from her father, recounts that people were unkind to Siuluk and teased him because he was different. Through a show of strength by lifting the very large rock, Siuluk convinced the Inuit people that he really was the strongest man and gained their respect.Both the language and the artwork in the book are simple. The clothing pictured is unadorned. Vegetation is suggested, but not detailed. Rob Nix has taken some liberties with the appearance of the individuals. Artwork left by the Tuniit (also known as the Dorset Culture), typically show rounded faces, similar to modern Inuit. Siuluk’s face is depicted as long and angular, with a prominent and high-bridged, convex nose, more common in some European people.Overall this is a good retelling of the traditional story and conveys the message of tolerance of difference. Libraries with children’s collections, and particularly those that collect polar children’s literature will want to include these volumes. Recommendation: 3 stars out of 4Reviewer: 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.267 | 0.081 |
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".