Bibliographic record
Abstract
Crossley-Holland, Kevin. The Riddlemaster. Tradewind Books, 2015.The Riddlemaster is a picture book aimed at children between the ages of four and seven, although the story may interest readers of multiple ages. It tells the story of three children: Anouk, Ben, and Cara. Together, these friends seek to cross a harbour to a special island full of treasure. The children are offered passage on a boat with the mysterious old man known as the Riddlemaster, and many terrifying island creatures. Anouk, Ben, and Cara must answer seven riddles the Riddlemaster and island creatures ask them during the voyage, or be eaten alive. If they succeed, however, they will meet the rest of the islanders, who are well-beloved literary characters from around the world.The riddles within the story are generally drawn from classic mythology, and may be difficult to guess for young children. The story is told in approachable and masterful language, however, and is well-paced. The watercolour illustrations in the book match the text well, and add a layer of diversity, especially among the children, who come across as distinct in personality and culture. The setting is haunting, and reminiscent of coastal medieval European towns.The Riddlemaster presents a different story for children, with a lot of charm. It strongly celebrates literature and mythology, although some references may not be understood by younger children. The Riddlemaster is a rich read for families that naturally leads to new thoughts, questions, and conversations. It also serves as a good jumping board for further myths, legends, and literature.Recommended: 3 out of 4 starsReviewer: Colette LeungColette Leung is a graduate student at the University of Alberta, working in the fields of Library and Information science and Humanities Computing who loves reading, cats, and tea. Her research interests focus around how digital tools can be used to explore fields such as literature, language, and history in new and innovative ways.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.197 | 0.163 |
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".