Bibliographic record
Abstract
Brown, Ruth. Monkey’s Friends. [London, England], Andersen Press Ltd, 2012. Print. Prolific English children’s author/illustrator Ruth Brown has created a delightful book in Monkey’s Friends. It is a simple rhymed text telling the story of monkey going through the forest, meeting different animals and greeting them. Each two page spread shows monkey greeting an animal whom we can see peeking out of the bushes. Every facing page is covered by a half-page flap. When the half-page is turned, the hidden animal is revealed and the animal’s name is printed on the flap. Brown’s acrylic paintings are fun. Monkey is doing something different in each image. Sometimes he hangs by his tail. Other times he is sitting on a branch or a rock or peering through grass. Each time his expression is alive. Brown also does an excellent job of communicating motion in her paintings. When you lift the flap to see crocodile, he seems to explode out of the water and you see water flying in all directions. While Brown’s animals are realistic, her vegetation is quite unusual. The leaves are highly-textured and look like they might have been done with block prints. The vegetation seems to be simultaneously dense and see-through. The result is a bright and colourful environment for Monkey and his friends. Young children will enjoy looking for the hidden animals and finding them when the flap is turned. Highly recommended for public and elementary school libraries. Recommendation: 4 stars out of 4 Reviewer: Sandy Campbell Sandy is a Health Sciences Librarian at the University of Alberta, who has written hundreds of book reviews across many disciplines. Sandy thinks that sharing books with children is one of the greatest gifts anyone can give.
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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 | 0.000 |
| 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 | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.335 | 0.260 |
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".