Bibliographic record
Abstract
Howe, James. Big Bob, Little Bob, illustrated by Lauren Ellen Anderson. Candlewick Press, 2016.Who needs binaries when we can have diversity? That’s what Bob, Bob, and Blossom might ask in Big Bob, Little Bob written by James Howe and illustrated by Lauren Ellen Anderson. This children’s picture book asks readers to question their perception of what is masculine, what is feminine, and more importantly, why we persist in imposing gender roles on children and in society. Some boys like cats, some boys like dogs, and some boys like to wear dresses. Do not make the mistake of placing stereotypes on the characters in this story! This book tackles the subject of gender roles and gender identity in a captivating, entertaining, and non-intrusive manner. Gender bending non-conforming individuals, and those who prefer to live in a gender-neutral world, will love this story. For those continuing to live in a binary-driven, gender-rigid reality this story will ask the reader to question why categorize gender, encourage embracing fluidity, and to start viewing life on a spectrum.Clean, clear fonts and simple, easy language, appropriate for all ages, permit readers the freedom to be expressive while flipping through the pages of this book. Beautifully drawn and coloured illustrations wonderfully complement the text. The illustrator makes smart colour choices and the art is stylized with thoughtfully detailed layers of images that provide deeper inferences for the viewer. Characters’ facial expressions provide insights into their thoughts, feeling, and emotions. Readers are provided the opportunity to analyse the illustrations that add clarity and detail to the author’s key message. In this book there is more than meets the eye and young readers will enjoy making connections between word and image while exploring various themes including friendship, acceptance, and inclusion - to name a few.Recommendation: 4 out of 4 starsReviewer: Craig MichaudCraig Michaud, B.Ed., M.Ed, is a graduate of the Masters of Education Studies Program at the University of Alberta, and an elementary school teacher for Edmonton Public School Board. His graduate research focused on the perspectives of gay teachers in Alberta, Canada. Contact: cmichaud@ualberta.ca
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.279 | 0.179 |
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".