Bibliographic record
Abstract
Zhao, Bingbo. The Pear Violin, illustrated by Gumi. Starfish Bay Children’s Books, 2016.Bingbo Zhao, who publishes under his first name, Bingbo, has published more than 370 children’s books and won more than 50 awards. The Pear Violin is an imaginative picture book which starts from the idea that pears and violins are shaped alike. In Bingbo’s fantasy world, a squirrel cuts a pear in half, uses a twig and some of his whiskers to make a bow, and begins playing. In this world foxes, elephants, bears, lions and a variety of other animals all inhabit the same forest. The music of the violin is so powerful that it can make the fox stop chasing the chicken and the lion “let the rabbit lie in his arms, so that the rabbit would feel warmer when listening to the music.” The music also has the power to make a small pear seed grow quickly into a tree and grow many pears. All the animals make the pears into cellos, violins and violas and all play beautiful music together. Throughout the book Gumi (no last name given) illustrates the motion and emotion of the animals. The animals’ faces show curiosity when the seed starts to grow and excitement when they play together in the concert. A suspension of disbelief is required for the enjoyment of this book. Some children will ask, “Why don’t the pears rot?” and “Why are bears and elephants in the same forest?” However, for most, it will just be a fun book which carries the message that music brings people together. This book would be good for public libraries and school libraries.Recommended: 3 stars out of 4Reviewer: Sean BorleSean Borle is a University of Alberta undergraduate student who is an advocate for child health and safety
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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 | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.139 | 0.078 |
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".