Bibliographic record
Abstract
Salzmann, Mary Elizabeth. Wear a Helmet! Healthy Safety Habits. Minneapolis, MN: Abdo Publishing, 2015, Print.This small picture book is levelled to the third or “transitional” reading level defined in the Sandcastle series. This series is designed for use in “shared, guided and independent reading and writing activities to support a balanced approach to literacy instruction”. The subject of the book is health and safety. Each photograph shows a child doing something that promotes safety: wearing a bike helmet, a life preserver or a seatbelt. Other children are shown washing hands, using a pot holder and seated at a computer to illustrate online safety. The children featured are in the 7-9 age range and are named to allow readers to relate to them more easily. Younger children will look up to older children pictured doing the right things. The text is short and very simple, designed for children who are not yet fluent readers. However, for average readers, who might pick up this book in a library, the text would be most appropriate for the lower end of the recommended age 4-9 audience. There is a brief quiz at the end of the book, aimed at a low comprehension level. Strangely, some of the definitions in the glossary contain words that are well above the reading level of the book. For example, the definition of the word “germ” includes the word “organism”. While this book is designed for reading enhancement programs, it does model useful health and safety ideas, so would be a good addition for school and public libraries.Recommendation: 3 stars out of 4Reviewer: Sean BorleSean Borle is a University of Alberta undergraduate student who is an advocate for child health and safety.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.092 | 0.097 |
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".