Bibliographic record
Abstract
Winstanley, Nicola. A Bedtime Yarn, illustrated by Olivia Chin Mueller, Tundra Books, 2017.This picture book explores the dreams of Frankie, a little bear who has trouble falling asleep at night. To help him sleep, his mother provides a ball of yarn for him to hold while she works on the other end, knitting a special surprise for Frankie. Each ball of yarn is a different colour with its own story that takes the young bear on incredible adventures. For instance, a sea-green yarn invokes a dream that takes him deep into underwater caverns and a brown yarn reminds him of cake as a result of his upcoming birthday celebrations. Every colour depicts a new dream and unique experience. The story concludes with Frankie’s mother surprising him with a multi-coloured blanket that was made from all the different colours of yarn that he held. Beautiful artwork illustrated by Olivia Chin Mueller accompanies the story, including strands of coloured yarn that surround the images. The author creatively used colour as the starting off point for representing the wide variety of dreams that the little bear encounters. This children’s book teaches readers about different colours and the imaginative element of dreams. This book is suitable for children from Kindergarten to Grade 2. Recommended: 3 out of 4 starsReviewer: Janice KungJanice Kung is a Public Services Librarian at the University of Alberta, John W. Scott Health Sciences Library. She obtained her undergraduate degree in commerce and completed her MLIS degree in 2013. She believes that the best thing to beat the winter blues is to cuddle up on a couch and lose oneself in a good book.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".