Bibliographic record
Abstract
Campbell, Nicola. A Day with Yayah. Illustrated by Julie Flett. Tradewind Books, 2017. A Day with Yayah is a story that portrays a close relationship between a grandmother and her grandchildren. In A Day with Yayah, an Indigenous family makes a trip to British Columbia’s Nicola Valley to collect wild herbs and mushrooms. Along the way, the grandmother, Yayah, takes the opportunity to teach her grandchildren their language and to pass down her knowledge of edible plants and herbs. Yayah and her family are Nle?képmx (Interior Salish peoples), who are often referred to as People of the Creeks. Campbell draws on her own background for this story, having grown up in the same valley where the story is set. Illustrator and award winning Cree-Métis artist, Julie Flett, provides stunning, brightly coloured full-page illustrations. Flett’s detailed drawings complement the narrative, and her folk-style characters, with their jubilant expressions and bright clothing, emphasize the importance of knowledge transfer from one generation to the next. Over the years, the language of the Interior Salisham people has become endangered and Campbell introduces her readers to twelve words in the Salish language. These words appear within the dialogue of the story several times, giving children the chance to identify and connect with these words. The glossary at the end of the book is a very helpful addition and aids readers with pronouncing and translating the terms that are used throughout the story. The phrasing of the sentences and the inclusion of Salish words makes this a more appropriate read-aloud to younger readers, but it would also be suitable for independent reading for students in elementary school. This book is highly recommended for both school and public libraries. Highly recommended: 4 out of 4 stars Reviewer: Lydia Thorne Lydia Thorne is a Public Services Librarian at the University of Alberta. She obtained a BA and an MA degree in English Literature before deciding to pursue her MLIS. Lydia’s favourite part about reading is that it allows her to travel all over the world - without ever having to leave her chair.
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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 | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.365 | 0.207 |
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".