Bibliographic record
Abstract
Billan, Rumeet. Who Do I Want To Become? Illustrated by Michelle Clement. Page Two Books, 2018. This picture book conveys an important approach to problem solving. When asked by his teacher, Mr. Janzen, “What do you want to be when you grow up?” the central character, Dylan, initially thinks in narrow terms: career choices. He is stymied. When he reframes the question as “Who do I want to become?” he arrives at a thoughtful answer. “I want to be someone who tries new things and isn’t afraid to fail. I want to be someone who helps others and makes a difference in the world. Someone who isn’t afraid to be me.” [p.31] Dylan clearly has changed the problem from “What do I want to do for a living?” to “What kind of person do I want to be?” It should be pointed out that the actual words of his reframing are no guarantee of a philosophical result. Many children would still respond to the question, “Who do I want to become?” in terms of role models, generic or specific: “I want to become Prime Minister.” “Chris Hadfield.” “Tessa Virtue.” (Certainly, had I been asked that question at eight years of age as I struggled, in my brother’s old hockey skates, to navigate the frozen puddle that was our “rink” I would have replied, “Barbara Ann Scott.”) The culminating focus of the storyline is character development; parents and teachers could use this book to begin discussion of it. They may have to do some prompting, even a little rewording of the central question, to achieve that focus. It is worth the effort. Dillan’s answer opens up issues of self-acceptance, self-direction, and self-actualization in a manner suitable for school aged children. His conclusion also emphasizes that the business of childhood is personal growth and development, not career planning. Though this is a picture book, the inherent nature of its topic, as well as Billan’s writing vocabulary, suggest its use with children eight to twelve years of age. Michelle Clement’s humorous cartoon-style drawings should appeal to that age group as well. In sum, the total package seems age appropriate for pre-adolescent youngsters. Reviewer: Leslie AitkenRecommended: 3 out of 4 stars Leslie Aitken’s long career in librarianship included selection of children’s literature for school, public, special and academic libraries. She is a former Curriculum Librarian of the University of Alberta.
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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 | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.142 | 0.102 |
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".