Bibliographic record
Abstract
Graham, Georgia. Cub’s Journey Home. Markham, ON: Red Deer Press, 2015. Print.Georgia Graham is a fine artist, but as a writer, needs a good editor. Like her earlier work Where Wild Horses Run, this is a beautifully illustrated book. Graham’s landscapes, trees, rivers, rocks, bears and flowers are all highly realistic. She tackles a variety of environments including snow, running water, forest fire, a burnt landscape and a garbage dump. Many of the images are frame-worthy. There are flaws in the flames of her forest fire, some of which look like they belong on racing cars; however, in the next image, she absolutely captures the complexity of the fire reflected on swamp water. Unfortunately, the text is an amalgamation of strange images and unusual or extravagant word choices. Why, for example, is a baby bear growing inside the mother called a “speck”? There is so much purple prose that the reader is constantly distracted. There are “long needles of sunlight” that “stab”. The snow covering the den is “a curtain of lacy ice”. “A breeze runs its icy fingers through his fur.” The cub “skedaddles”. “A dark blanket [of smoke] rises up and steals the stars from the sky.” The whole text would have been much better if Graham had just written in her natural voice, as she occasionally does, to good effect.While the unusual word choices make the reading level of the text much too advanced for a picture book, the images, with their excellent rendering of Alberta landscapes, make it valuable. This book is recommended with reservations for elementary school libraries and public libraries. Recommended with reservations: 2 out of 4 starsReviewer: Sandy CampbellSandy 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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.171 | 0.118 |
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".