Bibliographic record
Abstract
Neri, Gregory. When Paul Met Artie: The Story of Simon and Garfunkel. Illustrated by David Litchfield, Candlewick Press, 2018. The legacy of folk-rock duo Paul Simon and Art Garfunkel lives on in When Paul Met Artie: The Story of Simon and Garfunkel, a non-fiction illustrated story/biography. It details the friendship and success shared by two boys from a Jewish neighbourhood in Queens through their passion for music. Opposites in height, confidence, and interests, Paul and Artie are drawn together by each other’s humour, talent, and shared dream of hearing their songs on the radio. This beautiful story celebrates the ups and downs the boys experience through the decades as they draw inspiration from rock legends like Elvis Presley and Chuck Berry, rockabilly pioneers like Gene Vincent and Jerry Lee Lewis, and folk activists like Bob Dylan and Joan Baez. Written in free-form prose, each spread of this book features one large illustration, each titled with a Simon and Garfunkel song name. David Litchfield’s illustrations are almost animated in nature—they are imaginative, complex, and emotionally evocative in their use of perspective, shadow, and colour to convey a mood. Neri’s words are just as artistic, using adjectives such as “cascading,” “rapturous,” “blistering,” and “crooning” to describe the music experienced and created by Paul and Artie. The prose is rich and descriptive, though perhaps better suited to grade five and older due to the advanced vocabulary and the occasionally mature content. This story is one that can be shared between adults who grew up alongside Paul and Artie and children who have yet to hear this timeless story about two Jewish boys rising to stardom. Highly recommended: 4 out of 4 starsReviewer: Emma Ferguson Emma Ferguson is a second-year Master of Library and Information Studies student at the University of Alberta. She is an avid reader when she is not working on school work, and her greatest joys in life include colourful yarn for knitting and weaving, kitschy mugs (preferably full of coffee), and melancholy folk songs.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.034 | 0.013 |
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".