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Record W132876723 · doi:10.20361/g2p88n

How do Dinosaurs Eat Cookies? by J. Yolen

2012· article· en· W132876723 on OpenAlexvenueaboutno aff
Debbi Feisst

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtEtiquetteVisual artsArt historyPhilosophy

Abstract

fetched live from OpenAlex

Yolen, Jane. How do Dinosaurs Eat Cookies? Illus. Mark Teague. New York: Scholastic, 2012. Print. If you have ever set foot in the children’s section of a public library or bookstore, you will likely recognize the dinosaur on the cover of this book. Yolen, a much-lauded author who has also penned science fiction and fantasy, has over 300 children’s books to her name and is the author of How Do Dinosaurs Say Goodnight?, How Do Dinosaurs Say I Love You? and many others in the wildly successful How Do Dinosaurs… franchise created by bestselling author Jane Yolen and illustrator Mark Teague. The familiar classic dinosaur characters from Yolen and Teague’s books try their hands at baking and eating cookies while learning some ‘cookie etiquette’ along the way. While Yolen’s prose is fun and lively, in general the images of the dinosaurs have been ‘re-purposed’ from other titles in the series save for the addition of a cookie here and there. The book is also marketed as a scratch-and-sniff and according to the Scholastic web site, includes 3 cookie recipes. Sadly the 5 scratch-and-sniff scents have almost no scent at all, even in a brand new copy with minimal scratching, and there are only 2 recipes included. If your young readers are excited about the scratch-and-sniff potential they will be sorely disappointed. The recipes look easy enough and will be fun for kids to assist with in the kitchen but you will require dinosaur-shaped cookie cutters (not included) to get the full effect. There is no denying, however, the uniqueness of Mark Teague’s illustrations as well as his award-winning talent. The dinosaurs are realistic-enough looking to get slightly older kids’ attention but friendly enough for the younger set. The sturdy board-book binding, smaller size and aesthetic design make for an attractive book but the displeasure in the quality of the scratch-and-sniff and the general feeling of ‘I’ve seen this somewhere before’ is reason enough to bypass this title. Not Recommended: 1 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.029
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0030.005
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0290.027

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.

Opus teacher head0.008
GPT teacher head0.222
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2012
Admission routes2
Has abstractyes

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