Tuniit: Mysterious Folk of the Arctic by R. & S. Qitsualik-Tinsley
Bibliographic record
Abstract
Qitsualik-Tinsley, Rachel and Sean Qitsualik-Tinsley. Tuniit: Mysterious Folk of the Arctic. Iqaluit, NU: Inhabit Media, 2014. Print.The Tuniit, also known as the Dorset culture of the Eastern Arctic, were replaced by the Inuit. All that is left of them are stories and a few artefacts. Rachel and Sean Qitsualik-Tinsley have done an admirable job of telling the story of the Tuniit, mixing traditional lore and scientific fact to create a well-rounded picture of these enigmatic people. The authors’ relaxed and immediate style is refreshing. In spite of the complexity and uncertainty surrounding the Tuniit, their presentation of the information is simple and age-appropriate for the intended upper elementary audience. For example, they tell the reader that one “story even goes so far as to claim that their hunting tools were too big for them, dragging on the ground as they walked!” The authors introduce facts from recent scientific studies with equal simplicity and directness, “…the Tuniit, too, had once been part of a migration coming out of Alaska….In other words, Inuit and Tuniit were distant cousins.”While there is a lot of text and a lot of detail, there are images on almost every page. Sean Bigham’s artwork is excellent. Whether a scary green-skinned qallupiluq or the shaman in the light of the fire, Bigham is able to capture an appropriate mood and sense. He’s done a good job of depicting the Tuniit, incorporating physical features that are known only from legend.Over all this is a good book that fills a gap in Canadian childrens’ literature. Highly recommended for public and school libraries.Highly recommended: 4 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 0.012 |
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".