Bibliographic record
Abstract
Lanthier, Jennifer. Hurry Up, Henry, illustrated by Isabelle Malenfant, Penguin Canada Books, 2016.Dreamers and introverts need time: time to observe; time to imagine; time alone to recharge their emotional batteries. The “Henry” of this storybook is, very definitely, a dreamer—and, very possibly, an introvert. He seems destined to be dragged out of his reveries by a clock-watching family, and worn to a frazzle by his hyperactive friend, Simon. Happily, Henry is loved; even better, he is understood by both his grandmother and Simon. Together, these two conspire to give Henry a gift of time.Isabelle Malenfant creates an urban setting for Lanthier’s story. Her delicately coloured line drawings depict the city sidewalks, city parks, hallways, elevators, and apartment rooms through which Henry is “hurried.” Her illustrations are perfectly suited to the text--in fact, they are the primary means by which the emotional complexity of the story is conveyed.Lanthier’s text, itself, is very simply worded, even understated. The vocabulary she uses, her story’s emphasis on clock-watching and time-telling, suggest a book perfectly suited for independent reading in grade two.The book is an obvious “must buy” for school and public libraries. As well, it would be a helpful addition to the home library for families who find themselves endlessly urging one of their smaller members to “Hurry up!”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 academic libraries. She is a former Curriculum Librarian for 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 | 0.001 | 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 | 0.002 | 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) | 0.095 | 0.050 |
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".