Bibliographic record
Abstract
Long, Heather and Ethan. Max and Milo Go to Sleep. New York: S&S/Aladdin, 2013. Print.In Max and Milo Go to Sleep, we read about two brothers who share a room. Max, the elder and very sleepy brother, is kept up by his younger brother Milo’s antics. Milo has tried counting sheep and still can’t sleep. Like any younger brother would, Milo calls to Max for help. Max suggests that Milo read a book but of course he doesn’t do that quietly, nor is that the last problem Milo has that night. After a series of problems, Max snaps. He can’t take Milo and his nightly sleep aversion routine. Mid lecture, Max realizes that Milo has finally gone to sleep. But will Max be able to catch his Zzzzs that night?This book is one of those children’s books that the parent may enjoy more than the child. It is written like a comic book so the cartoonish illustrations are crucial to the story. Max and Milo both have huge expressive faces which make it quite easy to pick up how each brother is feeling. Parents will surely sympathize and laugh out loud at Max’s exasperation with Milo who “never really [tries] to go to sleep.” A lot of detail was put into the pictures, for example Max had The Legend of Sleepy Hollow on his bedside table. My five-year old nephew thought that this book was ‘awesome and so funny’. Max and Milo is likely to become a bedtime favourite.Highly recommended: 4 stars out of 4 Reviewer: Brittany GregsonBrittany Gregson is a graduate of MacEwan University’s Library and Information Technology program.She works at the Family and Community Resource Centre, Alberta Children’s Hospital as the Child Health Information Specialist. Other than reading she enjoys both baking and crafting.
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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 | 0.002 |
| 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 | 0.003 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.525 | 0.441 |
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".