Bibliographic record
Abstract
Coffelt, Nancy. Catch That Baby! Toronto: Aladdin, 2011. Print. There comes a point in every toddler’s life when he or she just needs to make a break for it and run away from Mom; if naked, after a bath, so much the better. Nancy Coffelt captures that moment in this delightful book. Rudy tosses his towel at the dog, shouts, “No dressed” and the romp begins. Mom chases, clothing in hand, and is joined in successive panels by other family members all of whom try, but not too hard, to “catch that naked baby”. This is primarily a picture book. Award-winning illustrator Scott Nash has drawn cartoon style illustrations, with large blocks of bright colour, little visual detail and speech bubbles. The simple presentation is perfect for toddlers, who will be able to completely relate to “Nudie Rudy” pelting around the house in the buff, although most pre-readers will not end up swinging from vines in the conservatory. Young children will enjoy the repetition in the little bit of text on each page and will love finding Rudy on each page, particularly on pages where those silly adults cannot see him, even though he is so obviously in plain sight that a baby could find him. Catch That Baby! is a gem that will become a favourite read aloud book in many families. It would make an excellent gift for a toddler and belongs in every public library collection. Highly recommended: 4 out of 4 stars Reviewer: 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.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.378 | 0.314 |
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".