Bibliographic record
Abstract
Dear Deakin Readers,In this issue you will find reviews of many new books to enjoy during the summer months, but I know this is also the season of family vacations, festivals, community pools, amusement parks, and beautiful weekend weather. With so much to see and do, I realize how difficult it can be to squeeze in some time for kids (and parents!) to curl up with a good book. If you are about to head off for a family vacation with toddlers, tweens, and teens—whether it’s a trip to a nearby city or a faraway country—I would encourage you to consider a visit to a museum, art exhibition, book fair, or gallery. Many of these venues are child-friendly and their displays encourage curiosity, critical thinking, and an interest in reading.On a recent trip to Winnipeg, Manitoba, I was reminded that many galleries and museums do a great job making their exhibitions accessible to children, offering activities and workshops designed to engage children to get the most out of their visit. Many galleries are free, such as the Pooh Gallery that I discovered in Winnipeg’s Assiniboine Park on the second floor of the Pavillion Gallery Museum, where visitors are introduced to an impressive collection of Winnie-the-Pooh books, print ephemera, toys, and art.One of the posters in the exhibition explains that Winnie, the famous bear in A.A. Milne’s stories, was named after a real bear in the London Zoo, where it was noticed and loved by Milne’s son, Christopher Robin. Of course, many adults know that the fictional adventures of a young boy named Christopher Robin and his animal playmates were chronicled in books that became favourites with children of all ages, but I presume far fewer people know the interesting story of how the real bear named Winnie ended up at the London Zoo (hint: there’s a Winnipeg connection). Visiting an exhibition like this one presents a special opportunity for us to introduce children to a variety of enchanting stories (with lots of visual aids!). Indeed, if there is one important thing we can all do for the children in our lives this summer, it would be to get them hooked on stories.Enjoy your summer!Robert Desmarais, Managing Editor
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.426 | 0.367 |
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".