Bibliographic record
Abstract
LaFortune, Doug et al. (2012). Book of Play! With Northwest Coast Native Art. Vancouver: Native Northwest. Print board book. This attractive children’s board book from publisher Native Northwest features the work of nine Northwest Coast Native artists. Bright colours appear throughout and a matte finish compels the reader’s eye to look, and look again. While a traditional Northwest Coastal art colour palette would include two to four colours, this board book incorporates more than fourteen colours for its attractive design. Natural animal forms such as ravens, turtles, fish, and more are illustrated using form lines and the characteristic U forms, S forms, and ovoids that distinguish Northwest Coastal art. The fantastic art is reason enough to purchase this book, but the fun activities are engaging as well. Each page turn is interesting as every page uses a different layout for text and images, and many of the pages ask the reader to interact in some way with the book. Readers are encouraged to count numbered toes on a foot, point to various coloured hummingbirds, find facial features on a totem, categorize animals based on how they travel, match stylized fish, and navigate a simple graphic maze. Due to the very simplistic text, Book of Play! is most appropriate for toddlers, pre-K, and early primary students. It stands out as a board book for having high-interest pictures, introducing young learners to Northwest Coastal art, and emphasizing the natural world. Highly recommended: 4 out of 4 stars Reviewer: Lisa Vanness Lisa Vanness is an elementary Fine Arts teacher in British Columbia and a Teacher-Librarian in training. She can tap dance, play the piano, and eat pickles - all at the same time.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.328 | 0.178 |
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".