Bibliographic record
Abstract
Yoon, Salina. Found. New York, NY: Walker Books for Young Readers, 2015. Print.The fictional picture book Found, written and illustrated by Salina Yoon, takes place in the forest and follows Bear, who found a stuffed bunny and tries to find its rightful owner by putting up FOUND flyers and searching for them.This book has a strong visual quality with fun illustrations in bold colours. The limited text on each page is appealing for younger and beginning readers and work collaboratively with the illustrations in an aesthetically pleasing manner. The story could be understood without looking at the text as the illustrations clearly dictate what is happening in the plot. Yoon includes a variety of ‘Lost’ posters throughout the book that are engaging to read, beyond the book’s text.Children can easily make connections to this picture book because of the idea of ‘lost’ and ‘found’ are familiar to them. Some readers may find the book’s ending unrealistic as the bunny’s rightful owner allows Bear to keep it. Young readers may recognize that in real life, this is often not the case, or they may have a false hope in the future when they find something they would like to keep that is not theirs.Recommended: 2 out of 4 StarsReviewer: Tara KammererTara Kammerer is a grade 2 teacher with Elk Island Public Schools and is currently completing her Masters Degree in Elementary Education at the University of Alberta. Tara loves how excited her grade 2 students get every time she brings a new book into the classroom to read aloud to them!
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.500 | 0.443 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".