Bibliographic record
Abstract
Cordier, Séverine and Cynthia Lacroix. A Day at School / Une Journée à L’école. Trans. Sarah Quinn. Toronto: Owlkids Books, 2013. Print. The format co-creators Cordier and Lacroix use in Picture My Day, Picture My World, and A Day at the Farm succeeds very nicely in this picture book as well. Their success has much to do with both their sensitivity to the target audience (pre-school to grade one), and their anticipation of the book’s use. They provide abundant illustration, keeping the text very brief. Short sentences or mere labeling hint at, but do not force, the storyline. The latter is created, in large part, by the reader.This book would work very well in a one-on-one situation: one adult, one child. The adult might prompt,“Where do you think they went on their holidays? What are they buying for school? How are they getting ready for their day? I wonder where Mummy and the baby are going? Let’s see where Daddy and the children are going.” and so forth.Inspired by an array of color filled drawings, even a non-reading child could flesh out the story, making it the same every time—for comfort’s sake—or different every time—for variety’s sake. The key factor is the child’s involvement.The vocabulary used in the text is well within the range of the intended audience. Most five-year-olds would begin to memorize the text after a few readings; most grade ones would actually recognize and read the words by the end of their first year at school. In sum, A Day at School is an invitation to imagine, to create, to read and to learn.Highly recommended: 4 out of 4 starsReviewer: Leslie AitkenLeslie Aitken’s long career in librarianship involved selection of children’s literature for school, public, special, and university collections. She is a former Curriculum Librarian at 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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.100 | 0.051 |
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".