Bibliographic record
Abstract
Gibbs, Edward. I Spy with My Little Eye. Somerville, Mass: Templar Books/Candlewick Press, 2011. Print. I Spy is a superbly illustrated book that helps young readers learn about animals and colours using the popular game. Each animal is introduced through a cutout that reveals a small section of the creature, along with a clue. For example: “I spy with my little eye…something that is blue…I am the biggest animal in the whole world,” to which the answer is a whale. Turning the page reveals a striking two-page image of the animal. Each animal is drawn from a monochromatic colour palette: the polar bear is mostly white with some grey and cool blue tones while the fox is fiery red and orange. Each of these watercolour images is accentuated with wild black slashes and curlicues to define the animal’s features. The last page features the silhouettes of the seven featured animals and a cutout right through the back of the book with the caption: “What can you spy with your little eye?” The large font and images coupled with the “I spy” formula is sure to entice children. Additionally, clever design elements and the overall aesthetic value of the book will encourage parents and teachers to add it to their collections. For example, the back and front cover open to form the face of a frog. When the book is closed, the cutout through the back rests against the page featuring the seven animal silhouettes. The black silhouette of the whale’s tale in front of a yellow moon is framed within the circular cutout thus creating the frog’s eye on the back cover. According to the Candlewick Press website, Edward Gibb has worked in the creative design business for over 25 years, and this is his first effort as a children’s author/illustrator. This book is recommended for children aged 2-5yrs, and I am eagerly awaiting Gibbs’ next publication. Highly recommended: 4 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.138 | 0.172 |
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".