Bibliographic record
Abstract
O’Leary, Sara. Owls Are Good at Keeping Secrets: An Unusual Alphabet. Illustrated by Jacob Grant. Tundra Books, 2018. From first to last, the phonic examples in O’Leary’s alphabet book are disarming: “Aa Alligators think you’d like them if you got to know them.” “Zz Zebras would like to be first. Just once.“ Unlike so many other authors of this genre, O’Leary rarely struggles to find simple, memorable examples of words that begin with the appropriate vowels and consonants. The sole exception in his work is the use of “Chipmunks” to illustrate the sound of the letter “C.” Child readers would have to be mature enough to recognize the digraph (ch) and be alert to its sound. That exception being noted, all of the other phonic illustrations—even the ones for the “difficult” sounds—are straight-forward, playful and engaging. “Qq Quail get quite tired of being told to be quiet.” “Uu Unicorns believe in themselves. “Yy Yaks giggle at their own jokes.” Joseph Brant’s illustrations are all that they ought to be: large, clear, colourful and, most importantly in this type of book, unambiguous. His depiction of voles for the letter “V” is particularly endearing. Those of us involved in the field of children’s literature might want this illustration and its motto on our flag: “Vv Voles always want just one more book.” In any case, we should ensure that this delightful book is on our children’s library shelves. Highly recommended: 4 out of 4 starsReviewer: Leslie Aitken Leslie Aitken’s long career in librarianship included selection of children’s literature for school, public, special and academic libraries. She was a Curriculum Librarian for 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.037 | 0.017 |
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".