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Record W925358020 · doi:10.20361/g2p590

No Fits, Nilson! by Z. OHora

2014· article· en· W925358020 on OpenAlexvenueaboutno aff
Connie Winther

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPatienceFriendshipFeelingPsychologyTest (biology)SimplicityAestheticsVisual artsSocial psychologyArtEpistemology

Abstract

fetched live from OpenAlex

OHora, Zachariah. No Fits, Nilson! New York : Dial Books for Young Readers, 2013. Print.No Fits, Nilson! is a children’s story book written and illustrated by Zachariah OHora. Mr. OHora has written several other well received children’s books and is an accomplished illustrator.It is about Amelia and her best friend Nilson, a large blue gorilla. These two inseparable characters have such a strong friendship that they even share time-outs. Running errands with Amelia’s mother is a test of patience and Amelia provides support to her big blue friend with the encouraging words “no fits, Nilson” and promises of banana ice cream. Amelia herself gets tested when the banana ice cream runs short, but in the end Nilson is a true friend who lends a helping hand. This is a story of patience and fits, friendship and support, and is a reminder that sometimes life is challenging for children as they learn to navigate the world.No Fits, Nilson! is illustrated with beautiful flat drawings in a rich pallet of turquoise, pink, and mustard yellow. The simplicity of the illustrations together with the use of white space and a simple bold black font draws the reader’s attention to the facial expressions and emotion of the characters and this is the strength of the book.This book is recommended for preschool children as a read aloud story. While the story does not recommend ways to manage difficult behaviours, it will be sure to stimulate conversations between children and their caregivers about feelings and behaviour.Recommended: 3 out of 4 stars Reviewer: Connie WintherConnie is a Medical Librarian with Alberta Health Services. She has a broad interest in health care and medical librarianship. When not working, she enjoys all types of outdoor activities with her family.

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: Other · Consensus signal: Other
Teacher disagreement score0.290
Threshold uncertainty score0.971

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2900.280

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 head0.005
GPT teacher head0.218
Teacher spread0.213 · 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
Published2014
Admission routes2
Has abstractyes

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