Bibliographic record
Abstract
Reid, Barbara. Picture a Tree. Toronto: North Winds Press, 2011. Print. The cover notes for this picture book tell us to “Picture a tree – now look again!” Award winning Toronto author and illustrator, Barbara Reid, encourages readers to see not just the trees, but how people use them, what they mean and what we can see in them. However it is not just the trees that demand a second look. The book itself is the most amazing collection of artwork – all made of plasticine, a modeling clay! On each page showing a tree in leaf, there are hundreds of tiny plasticine leaves. When Reid shows us a street scene where the trees make a leafy tunnel, the street, the cars, the house fronts and the people walking their dog are all fine plasticine work. When she shows us shade trees as umbrellas, not only is the woman with the baby and the man on a scooter made of the plasticine, the shadow cast by the tree is, too. As the book moves through the seasons from spring to winter, Reid really does find many different ways to look at trees. She sees the leafless branches as a drawing against the sky, falling leaves as a good-bye party and snow-covered trees as trees in snowsuits. The text is brief and easy to read; no more than a single sentence on each page. The concepts and words are simple enough for children ages three and up to enjoy. Most children reading this book will not see the artwork as different from any other illustration. It is only in the expanses of sky or snow that it is easy to see the plasticine. Because of this, parents will enjoy Picture a Tree on a different level from the children with whom they share it. Highly recommended for public and elementary school libraries. Highly recommended: 4 out of 4 starsReviewer: 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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.525 | 0.453 |
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".