Bibliographic record
Abstract
Summer Reading ListsWith summer in full swing, there are a number of summer reading lists available to help find great books for your kids. The Canadian Children’s Book Centre (CCBC) list includes a great number of titles arranged by topic matter, reading level and age level. The CCBC has also recently launched of a new online edition of Best Books for Kids & Teens, an online version of the CCBC’s semi-annual selection guide to the best Canadian books for children and young adults. Other reading lists worth noting include the Association for Library Service to Children (ALSC) list for 2016, Bookology Magazine’s Quirky Book Lists and via the CBC 15 Pride reads for youth and 15 Canadian Indigenous Reads. Best wishes for a great summer of reading!Remembering Larry LoyieIt is with great sadness that we heard of the passing of Cree author Larry Loyie on April 18th, 2016. Loyie was born in Slave Lake Alberta and wrote a number of young adult and children’s books. Goodbye Buffallo Bay and As Long as the Rivers Flow told of his own experiences in a residential school when he was young. In The Moon Speaks Cree: A Winter Adventure a young boy learns about Cree culture and his award-winning Gathering Tree confronted issues of HIV with a younger audience. These books, along with many other works for adult audiences, will serve as a legacy to what was a powerful voice in first nations and Canadian children’s literature. Larry passed away at home in Edmonton. Festivals and EventsMost book festivals across Canada have already passed for the summer but if you are looking towards the fall you can look into the Taleblazers Literary Arts Festival for Children put on by the Young Alberta Book Society from October 3-November 4, 2016.I am pleased to be writing my first News, Awards and Announcements for the Deakin Review. I have served as a reviewer and editor in past years and I look forward to sharing news on children’s and young adult literature in Canada and beyond. I am always looking for suggestions, so if you have news you would like me to include in future issues please send me an email at hanne.pearce@ualberta.ca.Best wishes for a great summer of reading!HanneHanne Pearce has worked at the University of Alberta Libraries since 2004. Aside from being an avid reader, she has continuing interests in writing, photography, graphic design and knitting.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.434 | 0.399 |
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".