Bibliographic record
Abstract
Now that classroom doors at schools everywhere have closed until fall, we’re delighted to recommend a diverse cross-section of books for children of all ages to enjoy during the long, lazy days of summer. Young readers are sure to find something here to relish and pore over while school is out. The featured picture books offer a parade of colourful characters, from ballerinas to penguins, and themes that will make you laugh out loud, while others deal with difficult life events like those covered in Really and Truly, where a boy tries to communicate with his grandfather as his memories are being robbed by Alzheimer’s. One of the most enjoyable picture books of the year is Dave Whamond’s Oddrey for its charming illustrations and timeless message of misfit children who overcome challenging events or circumstances. For those who are looking for a picture book about sibling relationships, Kyo Maclear’s Virginia Wolf is an excellent choice; it is a beautifully rendered and poignant story about sisterly differences and depression. It is a beautifully rendered tribute to real-life sisters, Virginia Woolf and Vanessa Bell, who were members of an early twentieth-century group of influential writers and artists known as the Bloomsbury Group. There are also many excellent novels for teenagers, including several absorbing stories that promise to hook otherwise reluctant readers. The final installment in The Boy Sherlock Holmes series is highly recommended for its nail-biting story of the boy Holmes’ final case. We also recommend Karen Armstrong’s The Rising for young adults interested in urban fantasy, romance, and supernatural themes. The variety of reads in this issue is truly impressive, and we hope this issue will inspire you to encourage children of all ages to read every day this summer. Best wishes, Robert DesmaraisManaging 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.696 | 0.657 |
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".