Bibliographic record
Abstract
James, Matt. The Funeral. Groundwood Books-House of Anansi Press, 2018. The Funeral, written by Matt James, focuses on a day that Norma goes to her Uncle Frank’s funeral. While this book will appeal to children, it is also good for adults to look at something heavy in life, such as a funeral, through a child’s eye. In a relaxed tone and cozy painting style, the story starts with Norma finding out that she won’t have to go to school on the day of her uncle’s funeral. She is excited about the day off and the “plan” of the day, playing with her cousin. Throughout the funeral, the story is developed through Norma’s eyes, showing how she experiences the time with her cousin. Before Norma leaves the funeral, she thinks Uncle Frank would have loved his funeral, since she noticed he was smiling right at her in his photo. Instead of a heavy, didactic teaching of the meaning of death, Matt explores a delicate way to describe a funeral from a child’s perspective. For example: There was a little flag [which said FUNERAL] on the car that drove them to the church. Norma tried to sound out the word printed on it.“F-U-N,” she said.And then she said it again. Matt James, a Canadian artist, is an illustrator of many picture books. With this picture book, James debuts as a writer and illustrator. The illustrations of the book are mostly acrylic and ink on masonite. Also, this book is the first time he combined a few digital pieces on the background illustrations. This book would tie in perfectly to a classroom talk about funerals and similar occasions and illustrates what a funeral is like from a child’s perspective. Highly Recommended: 4 out of 4 starsReviewer: Yina Liu Yina Liu is a first year PhD student in Language and Literacy, in the department of Elementary Education. Her research interests are digital literacies and children's literature, especially digital picture books. She finished her Master's degree at the University of Saskatchewan and worked in a preschool classroom as an early childhood educator for a year in Saskatchewan.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.142 | 0.088 |
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".