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Record W2606503106 · doi:10.20361/g2402n

Snail & Worm: Three Stories about Two Friends by T. Kügler

2017· article· en· W2606503106 on OpenAlexvenueaboutno aff
Jing Jin

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsnot available
Fundersnot available
KeywordsDialogicDramaArtPsychologyVisual artsLiterature

Abstract

fetched live from OpenAlex

Kügler, Tina. Snail & Worm: Three Stories about Two Friends. Houghton Mifflin Harcourt, 2016.Author, illustrator, and perhaps the friend of snails and worms in her backyard, Tina Kügler introduces readers to this hilarious book with three little stories of two best friends—a lovely Snail with a droll sense of humor and imagination, and a friendly Worm with a generous heart. In the first story, when Snail joyously plays with the rock, Bob, and the stick, Ann, we can see our lovely and naïve toddlers, and even our inner child. In the next story, when Worm warmly encourages Snail to climb to the top of a tall flower, we can recall how our families, teachers, and friends firmly support us even when we do silly things. And finally, when Snail and Worm have the interesting conversation about their pets, no one can refuse but smile sentimentally. They are not invertebrates anymore, but are as lively as our children, our friends, and ourselves.The dialogic text as well as the storyboard-style illustration adds a flavour of children’s comic-strip to this picture book. The fresh yet soft colour of the drawings creates a snug feeling like spring for readers. Its funny plot, vivid illustrations, and simple vocabulary will definitely be loved by pre-school and kindergarten children. The text and the illustrations are perfectly married with each other. The hilarious dialogues can be easily memorized by young students and even pre-readers, but would also fit well for a drama performance in the classroom.This book will make you giggle with your toddlers or even with your adult family and friends; I can’t wait to read more Snail & Worm adventures!Highly Recommended: 4 out of 4 starsReviewer: Jing JinJing Jin is a doctoral student at University of Alberta, studying and working in the fields of language and literacy in elementary education. She received her M.A. degree in children’s literature from Ocean University of China, and her M.Ed. degree from the University of Saskatchewan. Her master’s thesis is a comparative study of selected award-winning Canadian and Chinese children’s picture books.

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)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.027
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0040.005
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0270.014

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 head0.018
GPT teacher head0.325
Teacher spread0.307 · 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
GenreOther

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
Published2017
Admission routes2
Has abstractyes

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