Bibliographic record
Abstract
Cheng, Ardis. Simone in Australia. Paper Bear, 2016.Once in a while you find a book that your children will not stop asking you to read to them. Meet Simone in Australia. This delightfully illustrated book by Ardis Cheng, a local Calgarian author currently residing in Melbourne Australia - leaves nothing out. On each of the pages of Simone’s adventure with Jack, there is a new visual delight. The story takes us through the different flora and fauna of the Australian region Jack calls home; we meet spiders in Jack's house, adventure down to the beach and enjoy the tiny fairy penguins. The illustrations of animals of Australia including the kookaburra, echidna and wombat are a favorite page in our house. Simone, is a delightful young girl who is visiting her friend Jack. Throughout story Jack and Simone are given the challenge of explaining similarities and differences between Jack’s home and Simone’s. The book does an amazing job of highlighting what travel is for. To learn about new places and people. Often in the story, Simone will mention what she used to and while Jack teaching her about his home. This contrast is done very well, and makes sure to never state one is better -- just that they are different. Simone in Australia is also lovely way of explaining travel to children in a manner that allows them to understand how new and different can also be exciting, challenging and fun to share with a friend. This is a beautifully illustrated book that is great to read to children and children just starting to read themselves. It would be great addition to any personal or elementary school library.Highly Recommended: 4 stars out of 4Reviewer: Virginia PowVirginia is a Public Services Librarian at the Humanities and Social Science Library at the University of Alberta. When not reading to children, she enjoys being outdoors, running and stand up paddle boarding.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.174 | 0.113 |
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".