Bibliographic record
Abstract
Ferguson, Sarah. Ballerina Rosie. New York: Simon & Schuster, 2012. Print. The Duchess of York recounts the tale of Rosie Red Curls, a little girl who loves to dance and dreams of becoming a prima ballerina. When her mother takes her to her first ballet lesson, Rosie struggles with the steps and is the least graceful girl in class. Rosie becomes discouraged until one Saturday, she wakes to find a gift of red ballet slippers by her bed. She’s now able to dance beautifully. She thinks it is because of her shoes until her dance teacher tells her that she was always talented, she just needed to practice and build confidence. At some point, most little girls dream of becoming a famous ballerina and will be drawn to the book. Unfortunately, the story is uninspiring and a bit corny. The stated intended age range is 4 through 8 but the book is much too short and simplistic for most 7 and 8 year olds, though it may still appeal to younger girls. The moral about hard work paying off would likely not come through clearly for young girls. While the illustrations by Diane Goode are colourful and fun, they depict young girls en pointe performing steps that are much too advanced for their age. They are, however, typical ballet poses which is perhaps why they were used. Aspiring ballerinas would be better off reading tales of actual ballets, as Rosie does before bed, and viewing more realistic photographs of dancers. Not recommended: 1 out of 4 stars Reviewer: Trish ChatterleyTrish is a Public Services Librarian for the John W. Scott Health Sciences Library at the University of Alberta. In her free time she enjoys dancing, gardening, and reading books of all types.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.206 | 0.164 |
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".