Bibliographic record
Abstract
Brockenbrough, Martha. Cheerful Chick. Illustrated by Brian Won, Arthur A. Levine Books, 2019. Accompanied by Brian Won’s vibrant illustrations, Martha Brockenbrough tells the story of an energetic chick with a passion for cheerleading. Waving her pompoms and performing her best moves, Cheerful Chick tries to spread cheer around the barnyard. However, the grown-up animals do not seem to share her enthusiasm and Cheerful Chick soon finds herself feeling discouraged. In the end, Cheerful Chick realizes that her high spirits have not gone unappreciated after all. This picture book explores the fact that we cannot always count on others to share in our passions. Brockenbrough’s use of the descriptor grown-up for the animals too busy for Cheerful Chick’s antics opens up room for discussions about the stressors that can make adults seem grumpy to energetic children who want others to share their cheerful moods. Although Cheerful Chick finds there is a troupe of chicks ready to join her cheers, the lesson about learning to feel joy even when joy is not shared by others proves to be the most interesting aspect of this story. Packed with colourful full-page spreads and rhyming text that is perfectly paced for reading aloud, Cheerful Chick is sure to become a story time favourite. The obvious place for this picture book is in a farm-themed story time, but librarians, educators, and parents will also find it lends itself well to themes such as feelings and friendship. This picture book is an irresistible burst of optimism that is sure to delight preschoolers and older children alike. Highly Recommended: 4 out of 4 stars Reviewer: Samantha Nugent Sam works as a librarian at Hinton Municipal Library.
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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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.175 | 0.103 |
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".