Thomas Loves: A Rhyming Book about Fun, Friendship – and Autism by J. Welton
Bibliographic record
Abstract
Welton, Jude. Thomas Loves: A Rhyming Book about Fun, Friendship – and Autism. Philadelphia, PA: Jessica Kingsley Publications, 2015. Print.This picture book introduces the day-to-day life of a happy kid, who happens to be autistic. The book starts out presenting Thomas like any other boy, playing with a train. Slowly we learn that he likes to repeat strange sounding words, can't stand loud noises, has a limited diet, flaps his hands if stressed, and requires a picture-plan of what is going to happen each day. The author does not try to make you feel sorry for Thomas or pity him. It is just an introduction to this particular boy. The book is aimed at pre-school children, and both the cartoon pictures by Jane Telford and the rhymed text by Jude Welton will make the book attractive to small children. It would be a good book to use with children who are in a classroom with an autistic child. At the end of the book there are author notes that provide facts about autism. I highly recommend this book for elementary schools, day cares and public libraries.Highly Recommended: 4 stars out of 4Reviewer: Sean BorleSean Borle is a University of Alberta undergraduate student who is an advocate for child health and safety.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.052 | 0.031 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".