Bibliographic record
Abstract
Sutcliffe, Mandy. Belle & Boo and the Yummy Scrummy Day. Sydney: Orchard Books. 2013. Print.This beautifully illustrated book by Mandy Sutcliffe is about a little girl named Belle and her fussy-eater but funny friend bunny, Boo. Belle and Boo have many other fun-filled days of adventure and discovery, but in this one, the duo explores the orchard and the kitchen.Boo loves cakes and has all the excuses in the world to not eat nutritious food. Belle, on the other hand is a calm but “sneaky” cook who never forces her friend to eat healthy. Instead, she finds a way to lead Boo into trying yummy scrummy fruity things that are not cake!The story is simple, interesting and funny. It attempts to encourage kids to eat healthier but it does not lecture or preach so it is not at all boring. ``Trying things first before saying you don`t like it`` could be the take-away message that young readers will get from this book.The language is age-appropriate and the length of the story is just right. The illustration is vintage-inspired and the colors used made each page attractive and pleasing to the eyes.Belle and Boo and the Yummy Scrummy Day is a book that elementary school libraries and public libraries should have. Parents with young children could definitely add this title to their bedtime stories booklist.Highly recommended: 4 stars out of 4 Reviewer: Joycelyn JacaJoycelyn Jaca is a medical librarian with Alberta Health Services. She is a mother of three girls and is a frequent visitor of public libraries and bookstores to find children’s books.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".