Bibliographic record
Abstract
Reviewed by: Gum by Nancy Willard Elizabeth Bush Willard, Nancy Gum; illus. by Jeff Newman. Candlewick, 2017 [32p] ISBN 978-0-7636-7774-9 $14.99 Reviewed from galleys R 4-7 yrs James rustles his sleeping parents up at six in the morning to collect his week’s allowance—five quarters, one of which is a Canadian coin that his bleary-eyed mother assures him is lucky. “Lucky, ” as in now-please-go-away. After school he and pal Danny head to Mr. Wright’s store, where they take turns inserting their entire net worth into a gumball machine in the hope of getting the little silver racer that never wants to drop down the chute. Each quarter earns six gumballs, or at best a cheesy ring or, surprisingly, a little wheel. (“‘But this machine doesn’t give wheels, ’ says James. ‘It does now, ’ says Danny.”) James is resolved to save his last lucky quarter, but when he tests the Canadian coin against the slot size, it accidentally drops in and everything in the machine flies out—except the racer. After apologies and clean-up, James is now out his money, has no racer, and doesn’t even like gumballs. Mr. Wright is feeling generous, though, and after he takes off the machine’s top, the three-wheeled racer emerges, and Danny is pleased to share his prize wheel. It isn’t much of a story—for many it’s just a trip down their own boulevard of broken dreams—but Willard is an ace at drawing out the tension as each ensuing coin buys inevitable disappointment. Newman’s ultra-streamlined compositions are a hoot, particularly the early morning bedroom scene, and peppy hues (the color of artificial food additives . . . yum!) are ensconced between Bazooka-pink endpapers. It’s never too early to start playing the slots. 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.664 | 0.581 |
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".