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Record W3048589904 · doi:10.20361/dr29484

Smiley: A Journey of Love by J. George

2020· article· en· W3048589904 on OpenAlexvenueaboutno aff
Lorisia MacLeod

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2020
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsSmileyBalletReading (process)Peck (Imperial)PraiseFriendshipGeorge (robot)ArtVocabularyPsychologyLiteratureVisual artsArt historyLinguisticsPhilosophySocial psychology

Abstract

fetched live from OpenAlex

George, Joanne. Smiley: A Journey of Love. Fitzhenry & Whiteside, 2017. Smiley: A Journey of Love is the heartwarming story of a blind dog who becomes a St. John Ambulance Therapy Dog. While the story contains some complex topics that early readers might struggle with such as Alzheimer's or puppy mills, the colourful photography that accompanies the text make it an excellent book to be read with an adult. The photographs of Smiley will help very early readers to invest in Smiley’s story though the text is larger and double spaced so that moderate level readers could use this book to build their reading skills. Given the length and amount of text, this book would be longer than could be covered in one storytime but is broken down by chapters so it could be used for a week of storytimes. Librarians and educators may find this book useful for starting a discussion around blindness or different ability needs. This book frames Smiley’s blindness and dwarfism simply as things that make Smiley himself and while they might change the way he interacts with the world, this book discusses his abilities in a positive way. There is also a part that discusses Smiley’s friendship with Pearl and Pippi which could be used to teach about being respectful of friends' needs. Overall, this book contains high-level vocabulary and concepts but if read with an adult's support can be the start of some very educational discussions. Recommended: 3 out of 4 starsReviewer: Lorisia MacLeod Lorisia MacLeod is the Online Reference Centre Coordinator with The Alberta Library (TAL) and a proud member of the James Smith Cree Nation. When not working on indigenization or diversity in librarianship, Lorisia enjoys reading almost any variation of Sherlock Holmes, comics, or travelling.

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: Other · Consensus signal: Other
Teacher disagreement score0.051
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0050.005
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0510.037

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 head0.011
GPT teacher head0.288
Teacher spread0.277 · 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
Published2020
Admission routes2
Has abstractyes

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