Bibliographic record
Abstract
Greetings everyone! Welcome to another issue and a round-up of children’s literature news. It has been a long and cold winter in Edmonton, but it seems to be finally winding down. There are some award and event news to share with you as well as some podcasts. I happen to be a big podcast lover and and my favourite ones help me get through the winter darkness with insightful ideas and discussions. It thought it would be fun to highlight a few children’s literature podcasts that may interest our readers. Here’s wishing you all a warm spring! AWARDS Alberta Literary Awards were announced by the Writers’ Guild of Alberta. The books shortlisted for the R. Ross Annett Award for Children’s Literature include: Jenny Keith (Edmonton) – Day Cat, Night Cat Mike Kerr (Calgary) – Crafty Llama Nhung Tran-Davies (Calmar) – Ten Cents a Pound Shortlist reading events will be held this spring in Edmonton on May 5 and in Calgary on May 15. The BC Book Prize shortlists have been announced, and titles shortlisted for the Sheila A. Egoff Children’s Literature Prize include: Learning to Breathe by Janice Lynn Mather The Journey Forward, A Novella on Reconciliation: When We Play Our Drums, They Sing! / Lucy and Lola by Monique Gray Smith and Richard Van Camp Nice Try, Jane Sinner by Lianne Oelke No Fixed Address by Susin Nielsen Very Rich by Polly Horvath Those shortlisted for the Christie Harris Illustrated Children’s Literature Prize include: The Nameless City: The Divided Earth by Faith Erin Hicks, Robert Bateman: The Boy Who Painted Nature by Margriet Ruurs Illustrated by Robert Bateman, Sir Simon: Super Scarer by Cale Atkinson; Sparks! by Ian Boothby Illustrated by Nina Matsumoto Sterling, Best Dog Ever by Aidan Cassie Full details can be found at the BC Book Prize Website. EVENTS Me and Mr. Carnegie: 16th Albert Lahmer Memorial Lecture The Osborne Collection of Early Children's Books, Lillian H. Smith Branch, Toronto Public Library April 25, 2019, 7:00 pm - 8:00 pm See more at: Canadian Children’s Book Centre CHILDREN’S AND YA PODCASTS YA Write Every month, Amy Mathers talks to YA writers about their inspiration as a writer and their latest books. Picturebooking A Podcast About Creating and Sharing Picture Books The Yarn A narrative adventure. The Yarn takes listeners behind the scenes of children's literature, and lets them look at all the threads that must be weaved together to create a book. The Children’s Book Podcast Hosted by Matthew Winner, elementary school librarian and co-founder of All The Wonders. The Children's Book Podcast features insightful and sincere interviews with authors, illustrators, and everyone involved in taking a book from a drawing board to bookshelf. Books Between A podcast about books for tweens around the ages 8-12. The podcast offers trending topics, author interviews, and recommendations.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.560 | 0.486 |
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".