Bibliographic record
Abstract
Yamada, Kobi. What Do You Do With A Problem?, illustrated by Mae Besom. Compendium, 2016.This second collaboration of Kobi Yamada and Mae Besom offers children and adults alike some advice on how to deal with the universal task of dealing with a problem. The story follows the struggle of a child who encounters a problem that just won’t go away. It is through the child’s narrative that we, immerse ourselves. We can feel this struggle, the immense pains and terrifying feelings because all humans big and small have all dealt with the same question “What do you do with a Problem?” Fortunately, Yamada offers readers a solution. Like with many things in life, we must face it. Once the child finds the courage to tackle the problem, it becomes something other than what the child first imagined it to be.The illustrations by Mae Besom beautifully capture the feelings and emotions that are present when someone finds themselves in the throes of a problem. The illustrator’s combination of pencil and water colours create strong images of the struggles and emotions that are displayed in the book. Her use of line and her specific use of colour in contrast with white space alerts the reader to the change in the problem solving stages, one of frustration and struggle to resolution.While this picture book has an intended audience of children ages 5 to 12, the story itself and the lesson learned will resonate with all children and the young at heart.What Do You Do with a Problem? would be an excellent addition to libraries and home collections.Highly recommended: 4 stars out of 4Reviewer: Sherry MuruganSherry is a Graduate student in the department of Elementary Education. She is a mother of two and an elementary school teacher who loves to share stories with her children and students.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.027 | 0.019 |
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".