Bibliographic record
Abstract
Hutchins, Hazel. Snap! Illus. Dušan Petričić. Toronto, ON: Annick Press, 2015. Print.Evan is the proud owner of a brand new pack of crayons. When a crayon breaks, Evan is introduced to a world of creative possibilities as he uses the broken crayon pieces in different ways an Evan discovers how to combine his remaining crayons to create new colours as other crayons get lost or used up. Hailing from Southern Alberta, Canmore-based author, Hazel Hutchins, has written several books for children and young adults. Serbia-based children’s book illustrator, Dušan Petričić, is known for his artwork on In the Tree House and The Man with the Violin. Hutchins and Petričić teamed up previously, to create 2009 Alberta Literary Award-winning Mattland.In Snap!, Hutchins uses repetition, onomatopoeia to great effect, creating a sense of rhythm and momentum as Evan experiences repeated challenges and successes during his colouring activities. Petričić employs a riot of colour and a messy, scribbled style that capture the main character’s expressions, personality and passion as Evan draws with wild abandon.Snap! is a great story for a child who has received their first set of crayons. Young readers will relate to Evan’s feelings of frustration and desperation as his crayon collection is depleted, and they will be surprised and inspired by his discoveries. Children will delight in the playful illustrations and won’t be able to resist experimenting with their own crayons after reading about Evan’s adventures.One piece of the story may concern parents of young children – when Evan rubs the crayons on paper and reveals the shapes of various objects underneath the page, one of the items is an open safety pin.The story’s ending is really a beginning of another adventure – a nice addition would have been some instructions on how to make the paper-folded models illustrated at the end of the book.While the publisher recommends this book for children 4-7 years of age, it may be more appropriate for those on the younger end of that range.Recommended: 3 out of 4 starsReviewer: Maria TanMaria C. Tan is a Medical Librarian at the Abdul Khaliq Library in Alberta Health Services’ Cross Cancer Institute and a former editorial team member of the Deakin Review. She firmly believes that children's literature is an essential component in the fountain of youth.
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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 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.539 | 0.421 |
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".