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Record W2337634110 · doi:10.20361/g2v60g

Sizing Up Winter by L. Flatt

2014· article· en· W2337634110 on OpenAlexvenueaboutno aff
Maria Tan

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCONTESTGlossaryPoetryReading (process)Visual artsIdiotThe artsComputer scienceHistoryLiteratureArtLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Flatt, Lizann. Sizing Up Winter. Illus. Ashley Barron. Toronto, ON: Owlkids, 2013. Print.Children’s book author, Lizann Flatt, is a freelance editor and writer of children’s fiction, non-fiction, and poetry. Ms Flatt has enjoyed a longstanding relationship with Owl, beginning as a teen in 1981, when she won a writing contest and was published in Owl Magazine. Lizann went on to contribute in content development and editorial positions during and following her Arts degree.Hailing originally from Whitby, Ontario, Toronto-based illustrator, Ashley Barron is passionate about nature, and this comes through in her cut-paper collages. Ms Barron’s skillful use of simple shapes, choice of colour and texture, and attention to detail, result in visually stunning cut-paper collage works, which are a central feature in Sizing up Winter, as well as the other books in the same series.Sizing up Winter is the third book in the Math in Nature series, which includes “Counting on Fall”, “Sorting through Spring”. This book pairs rhyming text with colourful nature-inspired artwork to introduce young readers to measurement concepts such as depth, distance, size, area, and time. Highlight boxes on each page ask questions that encourage readers to examine the images closely, encouraging interactive reading.Many of the pages use rhyming text, but this approach is used inconsistently. Some words and concepts may not be clear to young readers (e.g., mass, capacity) a glossary or call-out boxes on the same page as the introduced terms would have been helpful. The back of the book includes Nature Notes with additional information about the animals featured in the pages of the book, in the order in which the animals appear, rather than in alphabetical order.The online Teacher’s Guide resource, a pdf that includes support activities to reinforce measurement concepts from each page of the book, is a valuable addition to the book: http://www.owlkidsbooks.com/ResourcesActivities/TeacherGuides.aspx or http://www.owlkidsbooks.com/Portals/0/docs/teachersGuides/SizingUpWinter-TeacherGuides.pdf (pdf document). It’s unfortunate that the book itself does not mention its availability (I only learned about it from a publisher promotional insert in the review copy of the book).“Shaping up Summer”, a fourth book in the Math in Nature series will be released in Spring 2014.Recommended: 3 out of 4 starsReviewer: Maria TanMaria is a library intern at the University of Alberta’s John W. Scott Health Sciences Library. She enjoys travelling and visiting unique and far-flung libraries. Maria firmly believes that children's literature is an essential component in the fountain of youth.

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)0.000
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: none
Teacher disagreement score0.185
Threshold uncertainty score0.618

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1850.112

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 head0.006
GPT teacher head0.227
Teacher spread0.221 · 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
Published2014
Admission routes2
Has abstractyes

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