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Record W2974623619 · doi:10.20361/dr29459

The Good Egg by J., J., and P. Oswald

2019· article· en· W2974623619 on OpenAlexvenueaboutno aff
Tara Gordon

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2019
Typearticle
Languageen
FieldPsychology
TopicLanguage Acquisition and Education
Canadian institutionsnot available
Fundersnot available
KeywordsForm of the GoodReading (process)DozenArtCharacter (mathematics)KindnessArt historyPsychoanalysisSociologyPhilosophyPsychologyLawTheologyPolitical scienceMathematics

Abstract

fetched live from OpenAlex

John, Jory and Pete Oswald. The Good Egg. HarperCollins Children’s Books, 2019. This imaginative picture book by bestselling creators Jory John and Pete Oswald uses beautiful illustrations and humour to tackle social and emotional skills. The Good Egg is the counterpart to the duo’s book The Bad Seed. As the title suggests, the main character of this book is a good egg, “A verrrrrry good egg.” The beginning of the book shows how the good egg stands apart from the rest of the rowdy dozen in his carton by trying to do good deeds—he’s rescuing a cat when we first meet him. But as the story progresses, we see that the good egg is trying so hard to be good, while everyone around him is rotten, that he reaches a breaking point. The good egg literally begins to crack from all of the self-imposed pressure. Deciding that it is in his best interest to leave the carton, the good egg embarks on a journey of self-care, and self-reflection. On his journey, the good egg finds peace by taking walks, reading, writing in his journal, and just breathing. Eventually, the good egg starts to feel like himself again. At the same time, he realizes that he is lonely without his friends. He learns that even though the other eggs aren’t perfect, he doesn’t have to be either. The good egg decides that it is much better to be with those you love than to be alone, so he returns to his carton. The detailed and expressive illustrations by Oswald bring the characters in The Good Egg to life, making them relatable to kids. The story flows nicely with just the right amount of words, making it a good read-aloud, and useful for class and family discussions on topics like perfectionism, self-care, and accepting yourself and others as they are. It is one of those picture books that gives kids an opportunity to put themselves in someone else’s shoes and to empathize. Overall, The Good Egg reminds us of the importance of balance and self-care, and accepting those we love, even if they are a bit rotten sometimes. Highly recommended: 4 stars out of 4Reviewer: Tara GordonTara Gordon is a University of Alberta SLIS student with a lifelong passion for children’s books. Outside of school, Tara enjoys spending time with her husband and two children.

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.053
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0530.028

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 head0.003
GPT teacher head0.278
Teacher spread0.274 · 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
GenreEmpirical

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
Published2019
Admission routes2
Has abstractyes

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