Bibliographic record
Abstract
Bailey, Linda. If You Happen to Have a Dinosaur. Illus. Colin Jack. Toronto: Tundra Books-Random House of Canada, 2014. Print.Author, illustrator, and publisher, here, have produced a winning fiction for the child who is going through his or her “dinosaur phase.” All manner of dinosaurs – bipeds and quadrupeds, giants and midgets, winged and horned, parade through this picture book in glorious color. We are invited to consider a quite exhaustive list of uses for these creatures – should we happen to have any “lying around the living room.” A typically delightful illustration features a bright blue brontosaurus (otherwise known as an “apatosaurus”) being used to jack up the family van; it is just one of countless suggestions for dinosaur usage.Technically, the book is perfect for its intended audience. The drawings are clear, well defined and boldly colored. The font is large. The text is perfectly married to the illustrations. It is also well within the spoken vocabulary of kindergarten and primary school children. The pre-reader will probably memorize it fairly quickly. The beginning reader will see in context those words that are not part of the early reading curriculum, and, after a time or two through with adult help, should be able to read the book independently.All in all, this book is a romp. Find your inner seven-year-old, read it, and have a good giggle.Reviewer: Leslie AitkenHighly Recommended: 4 out of 4 starsLeslie Aitken’s long career in librarianship involved selection of children’s literature for school, public, special, and university collections. She is a former Curriculum Librarian at the University of Alberta.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.123 | 0.124 |
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".