Bibliographic record
Abstract
Hobbie, Holly. Elmore. Random House Children’s Books, New York, 2018. Holly Hobbie’s Elmore is a heartwarming story about a lonely porcupine determined to make friends. His prickly exterior makes the other animals scared of him at first, but through his creativity and inventiveness, he finds a way to help others embrace what makes him unique, all while staying true to himself. The invaluable lessons that this picture book teaches are remarkable. Readers learn that what makes us different, makes us special; once we accept and appreciate our differences and share what we have to offer, others will get to know, accept, and appreciate us for who we are. This book also teaches its readers to not ‘judge a book by its cover’. Elmore was judged by the other animals because of his prickly quills, but once he celebrated his differences and the other animals learned what made him special, they felt lucky to be his friend. Hobbie’s use of language is powerful and provides young readers with the opportunity to learn and have discussions about new vocabulary, such as solitude, emphatically, and tuckered out. Hobbie’s whimsical illustrations are adorable and charming, and her realistic portrayal of Elmore’s facial expressions are endearing; readers empathize and grow to love Elmore. This book is highly recommended as a real-aloud for elementary school educators and parents alike, because it creates opportunities to discuss the hidden messages within the story. Children will be able to make their own connections with Elmore and feel comforted by the fact that making friends isn’t always easy, but others will learn to accept them for who they are, once they accept themselves. Editor’s note: It is worth reading more about the author and the history of her namesake character. https://en.wikipedia.org/wiki/Holly_Hobbie Highly Recommended: 4 out of 4 starsReviewer: Valerie Mayzel Valerie Mayzel is a fourth-year student in the Elementary Education program at the University of Alberta. She is very excited to begin her career as a teacher and is looking forward to incorporating a variety of literature in her lessons to support student learning.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.411 | 0.314 |
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".