Bibliographic record
Abstract
Durand, Hallie. Mitchell's License. Illus. Tony Fucile. Somerville, Mass: Candlewick Press, 2011. Print. Three and a half year old Mitchell, who never wants to go to bed, receives his “remote-controlled dad driver’s license”, which allows him to drive his father around the house like a car. This delightful picture book features plenty of visual sight gags as Mitchell puts the car into gear (by pulling on his father’s ears), checks the tires (feet), cleans the windshield (eyeglasses), and honks the horn (nose). Although Mitchell initially drives his dad straight into a wall, over time he learns how to avoid collisions and make hairpin turns. The book concludes with the son trying to feed his dad some gas (a cookie) before being driven off to bed. This is the first picture book by author Durand (also known for the Just Desserts books), whose husband invented the “remote-controlled dad” game for their children. There isn’t much of a story, nor does there need to be; the pleasure in the book is the driving game and the interaction between Mitchell and his dad. Fucile, who is well known from his career in animation, is a perfect illustrator for bringing this high-speed adventure to life, especially the overtly slapstick scenes where Dad collides into the wall or has “oil” poured into his mouth. Many pages use a lot of white space, which when combined with Fucile’s graphic style; make the illustrations look as though they were taken directly from a sketchbook. This effect gives the whole book a feeling of fluidity and improvisation that complements the driving game being enacted, while never coming off as blatantly cartoony. This book is highly recommended, especially for any child who loves cars and driving. However, parents should probably expect children to demand their own driver’s licenses after reading this book! Highly recommended: 4 out of 4 stars Reviewer: Dale StorieDale is Public Services Librarian at the John W. Scott Health Sciences Library at the University of Alberta. He has a BA in English, and has also worked in a public library as a children's programming coordinator, where he was involved with story times, puppet shows, and book talks.
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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 | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.587 | 0.481 |
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".