Bibliographic record
Abstract
Vickers, Roy Henry, and Robert Budd. Sockeye Silver, Saltchuck Blue. Illustrated by Roy Henry Vickers. Harbour Publishing Co. Ltd., 2019. This picture book by Indigenous artist Roy Henry Vickers and author Robert Budd, is designed to teach young children about elements of nature found on the Canadian west coast. Roy Henry Vicker’s beautiful illustrations draw the reader’s attention to the main theme of each page (e.g., whales, sea stars, sunsets, mountains, snow, the northern lights). Each page has its own colour theme and a specific colour is always mentioned (e.g., “yellow salmonberries", “purple sea stars”, “sunset red”). There are textured images allowing children to touch and feel something on every page. The book is printed on thick board pages, making it resistant to wear and tear and easier for young readers to flip through on their own. The colours and illustrations are vivid and are engaging for both children and adults. Most of the vocabulary is appropriate for younger readers, while the more difficult words serve as an opportunity to learn the names of west coast plants and animals, the names of different colours and the use of adjectives. In addition, the book has an abundance of words that start with the letter “s” which makes it a valuable resource for children who need practice producing the “s” sound. This book is recommended for teaching children, as young as two, about nature, and it should be available in school and public libraries. Highly Recommended: 4 out of 4 starsReviewer: Stephanie Borle Stephanie Borle is a University of Alberta graduate student of Speech-Language Pathology who enjoys working with adults and children. She is particularly interested in working with bilingual children and new immigrants in the area of developmental and acquired language disorders.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.419 | 0.286 |
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".