Bibliographic record
Abstract
Bar-el, Dan. Not Your Typical Dragon. Illus. Tim Bowers. New York: Viking-Penguin Young Readers Group, 2013. Without didacticism, this picture book explores the plight of those who are not “typical;” along the way, it highlights the value of peacemaking. Crispin Blaze, the child of a long, proud line of dragons who breathe fire, breathes everything but. Band-Aids, bubbles and teddy bears are amongst his pacifying emissions. Finding acceptance in a world of knights and dragons becomes his challenge.Not intended as “beginning-to-read” material, the text is still admirably written for oral presentation by either a proficient reader or a storyteller. Phrasing and structure promote the build up of suspense. Sentences are generally short and crisp, allowing, as appropriate, for the dramatic pause. The vocabulary is well chosen, varied, and unpretentious. The storyline should prove both amusing and satisfying to kindergarten and primary school children.Tim Bower’s illustrations add to the humour of the tale. They are large and clearly delineated—a good accompaniment to the text when seen at normal reading distance. Bower’s colour palette, however, is sometimes delicate. Viewed from the distance at which a story hour audience might see them, some images seem to meld. Others are perfectly fine for group viewing: good choices would be Crispin’s exhalations of both birthday streamers and teddy bears.All in all, this book provokes spontaneous laughter and subtle reflection. Parents, teachers and librarians will find many occasions on which to present it.Highly recommended: 4 stars out of 4Reviewer: Leslie AitkenLeslie 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.
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 | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.385 | 0.355 |
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".