Bibliographic record
Abstract
Reynolds, Peter H. The Word Collector. Scholastic, 2018.
 The story, written and illustrated by Peter Reynolds, is about a boy named Jerome and his discovery of words. While other children collect stamps, coins, rocks, and art, Jerome collects words. Words "catch his attention" and "jump at him." He collects "short and sweet words" and "two-syllable treats." He fills his scrapbook with all the "marvelous" words he hears, reads, and sees. But once while he’s transporting his collection, he slips and his words all get mixed up. In this jumbled up state, he starts noticing how they can be strung together to make poems and songs, and how he can use them in simple and powerful phrases. In the end, he shares his collection with children in the valley and he’s left with no words to describe how happy that makes him.
 The accompanying illustrations are bright, colourful, and detailed in terms of visualizing the text. With illustrations showing diversity in characters, dialogues are written in speech bubbles while Jerome’s "words" are shown on the pieces of rectangular paper he writes them down on. The jacket illustrations show Jerome standing with a bright blue background behind him and his numerous words flying around him. The inside hardcover is yellow with only the word slips jumbled around. The last page in the book is Peter Reynold’s own words strung together to give an inspiring message: “Reach for your own words. Tell the world who you are. And how you will make it better.”
 Inspiring and easy to read, this is a delightful book to help children discover the magic and power of words. Teachers and parents can help children in activities inspired by the book to play around with words and build their vocabulary. 
 Highly recommended: 4 out of 4 starsReviewer: Komel Ahmed
 Komel Ahmed is currently working towards her B.Ed. in Elementary Education at the University of Alberta. She loves reading with her two amazing children.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.197 | 0.204 |
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".