MétaCan
Menu
Back to cohort
Record W2463967606 · doi:10.20361/g21p5r

Wash, Wash, Wash Your Hands! by D. Mason

2016· article· en· W2463967606 on OpenAlexvenueno aff
Sean Borle

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsnot available
Fundersnot available
KeywordsLyricsSingingChorusBass (fish)Visual artsMusicalArtLiteratureArt historyPsychologyHistoryCommunicationAcoustics

Abstract

fetched live from OpenAlex

Mason, David I.A. Wash, Wash, Wash Your Hands! Illus. Dan Widdowson. Mancato, MN: Cantata Learning, 2016. Print.Many children successfully wash their hands while singing the “ABC” song or other familiar songs, so one wonders if the world needs another hand washing song. This book provides the lyrics to the song over cartoon images and also comes with a CD of the song. Dan Widdowson’s images of the anthropomorphized monkey and alligator are bright and small children will enjoy them. David I.A. Mason’s lyrics could use some polish. At one point, they read, “1, 2, fast-forward now! 18, 19, 20!” Since the song encourages children to wash their hands to a count of 20, encouraging them to short-cut through the count does not seem like a good educational technique. What saves this book from the mediocre is the music on the CD. The music, arranged and produced by Mark Oblinger, is a catchy jazz rendition with bass and percussion and an excellent, but unidentified vocalist. The score is printed in the back of the book and is simple enough that parents with rudimentary musical knowledge will be able to play it. The song is much longer than the minimum recommendation of 20 seconds for hand washing and would be hard for a small child to remember. However, the chorus is memorable and will stick in children’s minds. If children sing the chorus twice while they wash hands that should be enough time to kill germs. Overall, the music is good, but the book could have been better with stronger writing. Recommended for public libraries and elementary school libraries. Recommended: 3 stars out of 4Reviewer: Sean Borle

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.329
Threshold uncertainty score0.817

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.279
Teacher spread0.271 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations2
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueThe Deakin Review of Children s LiteratureSame topicPoverty, Education, and Child WelfareFrench-language works237,207