Bibliographic record
Abstract
The Canada Council for the Arts announced the various winners of the Governor General’s Literary Awards. On the English side, The Reluctant Journal of Henry K. Larsen by Susin Nielsen won for Children’s Text and Virginia Wolf by Isabelle Arsenault won for Children’s Illustration. For French works, Un été d’amour et de cendres by Aline Apostolka won for Children’s Text while La clé à molette won for Children’s Illustration. See the details here: http://ggbooks.canadacouncil.ca/en If you have not heard of 49th Shelf, it is worth taking a gander at http://49thshelf.com. It is a joint project of the Association of Canadian Publishers and Canadian Publisher’s Council with some funding and sponsorship from government and industry. Its goal is to help find Canadian books and bookstores that sell them. Aside from being able to search by category (including several sub-categories of children’s fiction and non-fiction) or author, it features an intriguing map search to locate books related to geographic areas to help with your own “100-mile book diet”: http://49thshelf.com/map. In addition, 49th shelf has an invitation out for librarians and educators to get access to some specialized content http://49thshelf.com/librarians. Some award announcements since the last issue include: National Book Awards for Young People’s Literature (books published in USA by US citizens) won by William Alexander for Goblin (see the 2012 finalists at http://www.nationalbook.org/nba2012.html#.UOcvSW9wV8E)Guardian Children’s Fiction Prize won by Frank Cottrell Boyce for The Unforgotten Coat (see the 2012 longlist at http://www.guardian.co.uk/childrens-books-site/gallery/2012/jun/08/childrens-fiction-prize-longlist-gallery)Costa Children’s Book Award for writers based in the U.K. and Ireland won by Sally Gardner for Maggot Moon (see the 2012 longlist at http://www.costabookawards.com/media/6956/shortlistrelease-forthewebsite.pdf) Upcoming in January should be the announcements for the various awards from the Association for Library Service to Children division of the American Library Association which include the Newbery, Caldecott, and several others. Finally, we do like to note University of Alberta and Edmonton connections when possible. Thomas Wharton, the author of The Fathomless Fire (reviewed in this issue) is an associate professor here and also recently gave a wonderful, engaging guest talk for a Greater Edmonton Library Association evening event. David Sulz, Communications Editor
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.254 | 0.212 |
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".