Bibliographic record
Abstract
Borden, Louise. Big Brothers Don't Take Naps. Illus.Emma Dodd. New York: Margaret K. McElderry Books, 2011. Print.A sweet, playful look at what older siblings do for their adoring youngers. The book is large-format, and Dodd often draws the children actual-size, which can make for an immersive feel of being in the page. The drawings are fairly simple ink drawings, which emphasize the emotions of the characters well, and they use much colour. The design also plays with fonts and text layout, making space for the adult reader to be a bit more playful in the reading – for example, the rocket ship countdown. As well as naming all the things big brothers can do, the story hints at a family secret: a new baby sister is coming, so Nicholas can himself now be a big brother. The book is a warm, positive story that children up to Kindergarten age will love.Recommended: 3 out of 4 starsReviewer: Allison SivakAllison Sivak is the Assessment Librarian at the University of Alberta Libraries. She is currently pursuing her PhD in Library and Information Studies and Elementary Education, focusing on how the aesthetics of information design influence young people’s trust in the credibility of information content.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.141 | 0.092 |
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".