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Record W2258419253 · doi:10.20361/g2dw23

I Hate to Read! by R. Marshall

2012· article· en· W2258419253 on OpenAlexvenueaboutno aff
Kim Frail

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsAdventureWhite (mutation)FavouriteBeautyArt historyArtLiteraturePhilosophyAestheticsTheology

Abstract

fetched live from OpenAlex

Marshall, Rita, and Etienne Delessert. I Hate to Read! Mankato, MN: Creative Education, 1992. Print. As you might guess from the title, this book invites reluctant readers to discover the wondrous adventures that can be accessed through turning the pages of a book, as opposed to tuning into TV programs. The cover features the narrator—third-grader Victor Dickens—on a dragon’s back, with flames licking out of the pages of a stack of books. Readers are told that Victor is a “really good kid” “most of the time,” and many children will be able to relate to his academic difficulties: “Victor got As in math and Bs in science, but Fs when it came to the ABCs”. He calls himself a “victim of the hate to read syndrome”. One night, Victor is visited by a series of storybook creatures, including a crocodile in a white coat, a field mouse carrying gold coins, a pirate parrot, and a white rabbit in black barn boots; all of whom attempt to convince him to read. He repeats his usual mantra, “I hate to read,” until gradually he begins turning pages, and his imagination takes over. Fictional characters morph into people from his real life: Sleeping Beauty turns into Natalie Nickerson, on whom Victor appears to have a bit of a crush. The turning point comes when one of the characters whispers: “It’s fun to read even when you’re not supposed to.” This thought appeals to his sense of juvenile rebellion, and he continues in his literary reverie, even missing his favourite TV program. He imagines his teacher as a witch, throwing books into a cauldron, and his classmates, led by Natalie, shouting, “We hate to read!” Instead of joining in, however, Victor thinks of how sad he would be to lose all of his new friends, so he looks for them in his book: “And as he read each page, he just hated…to come to the end.” Writer and designer Rita Marshall and illustrator Etienne Delessert have each been awarded numerous literary prizes for their work. The large-scale drawings of the storybook creatures are whimsical and inviting. They also contain small details that might not be noticed on the first reading. For example, the toes and talons of the dragon on the cover also form crow-like birds with pointy beaks. In another image, letters of the alphabet are hidden in animal tracks. On the other hand, the book includes some literary references that would likely be lost on a typical third-grader. For example, Victor’s parents are said to have bought all 56 volumes of the Encyclopedia Britannica to help pique his interest in reading. It is unlikely that many families would have this set in their homes, nor would a child normally encounter one in an elementary school library. However, these details will perhaps prompt questions from curious readers. On the whole, “I hate to read” is highly likely to achieve its principal goal. Much like Victor, most children will probably hate to see it come to an end. Not to fear, they can continue to follow Victor’s adventures in “I Still Hate to Read,” which was published in 2007. Highly recommended: 4 out of 4 starsReviewer: Kim Frail Kim is a Public Services Librarian at the H.T. Coutts Education Library at the University of Alberta. Children’s literature is a big part of her world at work and at home. She also enjoys gardening, renovating and keeping up with her two-year old.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.673
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.253
Teacher spread0.241 · 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 teacher head, not a consensus.

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
Published2012
Admission routes2
Has abstractyes

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