Bibliographic record
Abstract
Mallory, Carolyn. Painted Skies. Iqaluit, NU: Inhabit Media, 2015. Print.The northern lights, or aurora borealis, are ethereal and difficult to reproduce in an image, however, illustrator Amei Zhao does an admirable job. Carolyn Mallory’s story, told through the voices of two girls, Leslie and Oolipika, is a simple one encompassing the tradition that the northern lights are spirits playing a soccer-like game and that if they come too close, you might be hit by the ball. To let the spirits know you are there, you click your fingernails together. The Arctic environment is present throughout. When Leslie jumps she is “all arms and legs like a young caribou”. When the girls make snow angels they move their arms and legs “as if they were ptarmigans trying to get off the ground”. The reading level is appropriate for a picture book. While the story is well-written, it is the artwork on which the story is printed that is the best part of this volume. All of the pages are night pictures, so the images are shadowed, with highlights of moonlight. The deep blues, blacks, purples and greens contrast with the pinks and lime greens of the northern lights. Zhao has also added whispy green figures of the auroral spirits running through the sky. While this is a simple book, it is another example of Inhabit Media’s excellent work in capturing Arctic stories and creating high quality publications with them. This book is highly recommended for elementary school libraries and public libraries.Highly recommended: 4 stars out of 4Reviewer: Sandy CampbelSandy 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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.299 | 0.196 |
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".