Bibliographic record
Abstract
Reviewed by: Out of Wonder: Poems Celebrating Poets by Kwame Alexander Karen Coats Alexander, Kwame Out of Wonder: Poems Celebrating Poets; by Kwame Alexander with Chris Colderley and Marjory Wentworth; illus. by Ekua Holmes. Candlewick, 2017 [56p] ISBN 978-0-7636-8094-7 $16.99 Reviewed from galleys R* Gr. 5-12 Taking inspiration from twenty beloved poets—nineteenth-century poets Bashō, Rumi, and Emily Dickinson as well as twentieth-century and contemporary poets from Australia, Canada, Chile, Uganda, and the U.S.—Alexander, Colderley, and Wentworth offer their own tribute poems as models for young readers and writers. The poems are divided into three sections that highlight a particular aspect of imitation and response, with brief introductions that encourage readers to similarly experiment with adopting a favorite poet’s style or taking up the same themes or feelings. Accompanying each poem is a gorgeous collage in rich colors and textures that vibrate with the overall feeling of the poem while offering a sometimes literal, sometimes metaphoric, always atmospheric rendering of its subject matter. In fact, Holmes’ use of collage offers the perfect visual metaphor for the act of transforming borrowed forms and ideas into powerful original art. The source poems are not included, but biographical notes for the referenced poets are, followed by information about their era and location. A nourishing and delicious feast for eyes and ears, this belongs on every bookshelf; with this and Nikki Grimes’ One Last Word (BCCB 12/16, this is an excellent year for poetic legacies. [End Page 298] Copyright © 2017 The Board of Trustees of the University of Illinois
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 0.007 |
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".