Bibliographic record
Abstract
Kredensor, Diane, and Sandra Kress. Ollie & Moon. New York: Random House Children's Books, 2011. Print. Ollie loves to surprise his best friend Moon. Luckily Moon not only loves getting surprises, she loves trying to guess what they are even more. The story follows the two friends through the streets of Paris as Ollie provides more and more clues to a very big surprise. There are lots of silly interactions between the pair that are sure to amuse young children such as: Ollie surprising Moon on the toilet, Moon picking out silly hats, dancing on the Métro, and chasing a wheel of Brie cheese down some stairs. All of the characters in the story are cartoons superimposed on real photographs of Paris. Apart from Stanley the snail who provides a “Bonjour” and an “Au revoir”, Ollie and Moon are the only speaking characters. In spite of the fact that some words referencing things very specific to French culture such as fromagerie, Métro and boulangerie are sprinkled throughout the narrative or are displayed in the photographs, the location of the story is never referenced. In addition, these terms are never explained so a curious young reader would need to ask their parent or teacher or look them up on their own. When all the clues are assembled, the surprise is “round and musical, has lots of colors…fur, hooves, and feathers… is bright with lights and spins round and round”. Moon’s guess, while incorrect is presented in a very comedic image of “an elephant on a unicycle juggling animals while playing the French Horn”. The surprise actually turns out to be a beautiful carousel. Children might love the contrast of the cartoon figures against the photographic background and find the guessing game entertaining. However, from an adult point of view, the lack of context for the setting and cultural elements gives the whole story a slightly displaced feel. Recommended with reservations: 2 out of 4 starsReviewer: Kim FrailKim is a Public Services Librarian at the H.T. Coutts Education Library at the University of Alberta. Children’s literature is a big part of her world at work and at home. She also enjoys gardening, renovating and keeping up with her two-year old.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.174 | 0.119 |
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".