Bibliographic record
Abstract
Donaldson, Julia. The Highway Rat. Illus. Axel Scheffler. New York: Arthur A. Levine Books, 2013. Print.The children’s literature dream team of author Julia Donaldson and illustrator Axel Scheffler are at it again with this delightful take on Alfred Noyes’ classic narrative poem, “The Highwayman.” Donaldson and Scheffler, best known for their popular Gruffalo series as well as Room on the Broom, have created a lush narrative replete with repetitive phrases and rich illustrations that will captivate children while engaging the adult reader in an intelligent manner.“The Highway Rat was a baddie; the Highway Rat was a beast. He took what he wanted and ate what he took…” Indeed! The Highway Rat holds up fellow travelers and those he meets along the way with a voracious attitude and pointy sword. Though he prefers sweets, he takes anything –even a bunch of clover deemed tasteless and dull –to satisfy his greed and without a morsel of regret. As the other creatures along the road grew thinner and thinner, the Highway Rat grows plump until one plucky duck delivers poetic justice and some just ‘desserts’ to this nasty rat. Children will be pleased with the appropriate comeuppance for the Highway Rat that arrives with a healthy message of kindness and sharing.Fans of Donaldson and Scheffler’s previous work will not be disappointed, in particular those who have encountered “The Highwayman” as younger readers. This rollicking book will make a nice addition to any elementary school library collection and is best suited for students in K-3. Highly recommended: 4 out of 4 stars Reviewer: Debbie FeisstDebbie is a Public Services Librarian at the H.T. Coutts Education Library at the University of Alberta. When not renovating, she enjoys travel, fitness and young adult fiction.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.119 | 0.081 |
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".