What Can You Do with Only One Shoe: Reuse, Recycle, Reinvent by S. & S. Shapiro
Bibliographic record
Abstract
Shapiro, Simon and Sheryl Shapiro. What Can You Do with Only One Shoe: Reuse, Recycle, Reinvent. Illus. Francis Black. Toronto: Annick Press, 2014. Print.The publisher is promoting this charmingly-illustrated book as one intended to inspire a practical and constructive response to the environmental concerns with which we all must grapple. It is a theme which is oddly underrepresented in children’s books, perhaps because it is difficult to craft an approach which is empowering.This book considers popular contemporary ideas about recycling/repurposing everyday objects which have outlived their initial purpose, but it is not the do-it-yourself handbook that it appears to be. Instead, it is a collection of juvenile short poems with a humorously entertaining tone, but no clear message. Clearly, we should not judge this book by its title or by its covers. One poem makes fun of a toilet-turned-into-a-planter and offered as a gift, while another offers a range of silly suggested uses for a single shoe, including flattening pancakes. There is a poem which describes a tractor pulling a “broom propeller” for street sweeping which doesn’t work very well (“pebbles flying left and right”) and another in which a dog made of bicycle parts is less than satisfying (“he can’t lick my nose”). There are some poems with a less mocking tone, but which offer suggestions that are even more absurd, such as children making musical instruments from rusty cans retrieved from a landfill site or children building their own playground, complete with a swing and a slide, from an old ambulance. Intended for children aged 5-8 years old, I wonder what young readers would make of these poems.The illustrations by Francis Blake are by far the best feature of this book. Going well beyond what is found in the poems, the illustrator has created a marvelous cast of characters that are expressive in a way that is both quirky and charming. While the illustrations deserve four stars out of four, the text certainly does not.Not recommended: 1 star out of 4 Reviewer: Linda QuirkLinda taught courses in Multicultural Canadian Literature, Women's Writing, and Children's Literature at Queen's University (Kingston) and at Seneca College (Toronto) before moving to Edmonton to become the Assistant Special Collections Librarian at the Bruce Peel Special Collections Library at the University of Alberta. Her favourite children's book to teach is Hana's Suitcase, not only because Hana's story is so compelling, but because the format of this non-fiction book teaches students of all ages about historical investigation and reveals that it is possible to recover the stories of those who have been forgotten by history.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 0.009 |
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".