Bibliographic record
Abstract
Szpirglas, Jeff. You Just Can’t Help It: Your Guide to the Wild and Wacky World of Human Behavior, Toronto: Owlkids Books, 2010. Print. The publisher describes this brightly coloured and heavily-illustrated book as “The Naked Ape meets MAD Magazine”. It is a fun and irreverent look at what makes people behave the way they do. The four chapters cover senses, emotions, communication and interactions with other people and the world around us. The presentation of the material is excellent for the upper elementary (ages 9-12) audience. Throughout there are different fonts, shapes, styles, colours and media. One page contains many elements including sidebars, boxes, cartoons, drawings, photographs. On each page there is something fun. For example on page 19, which covers the subject of kissing, facts about kissing are listed as “The Good”, “The Gross” and “The Unusual”. There is also a photograph of a cat with oversized red whiskers drawn in. The most amusing, though, is the composite picture of a robin with worms in its beak, looking like it is about to drop them into the open mouth of a human baby. The text includes many subjects that will interest pre-teens such as hand-gestures, personal space, slang, lying and fear. The language is age appropriate and there are occasional activities for readers to try. Szpirglas uses attention-grabbing headings to present facts. For example, “Stinky Snarl” introduces a paragraph on facial responses to bad smells. An experiment on reflex and emotional tears is titled “a real tearjerker”. This book is a nice blend of fun, fact and learning. Highly recommended for school and public libraries. Highly recommended: 4 stars out of 4Reviewer: 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 | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.184 | 0.196 |
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".