Bibliographic record
Abstract
Stinson, Kathy. The Man with the Violin. lllus. Dušan Petričić. Toronto: Annick Press, 2013. Print.Kathy Stinson, author of more than 25 previous books for young people, has written a lovely book featuring illustrations by award winning artist Dušan Petričić.This book tells the story of Dylan, a young boy walking through a busy Washington, D.C. Metro station with his mother. Dylan hears a man playing beautiful music on his violin, but his mother refuses to stop to listen and they move on and board the train home. Without giving away the ending, readers of this review will be pleased to know that this book is based on a true story, and features a postscript by a notable classical musician.Stinson’s engaging writing style pairs well with Petričić’s creative use of colour to depict the musical sounds of the violin. The author and illustrator bring music to life in this touching book that reminds us of the curious nature of children, and their ability to notice things that adults ignore.The Man with the Violin is recommended for readers from 5-8 years of age, but it would also be great for story time with younger children as well. Highly Recommended: 4 out of 4 starsReviewer: Sean LuykSean is the Music Librarian for the Rutherford Humanities and Social Sciences Library at the University of Alberta. Sean holds an MA in Music Criticism and B.Mus from McMaster University, as well as an MLIS from the University of Western Ontario.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.052 | 0.045 |
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".