Bibliographic record
Abstract
Michael Bond, Paddington creator passesIt is with sadness that we note the passing of Michael Bond, British author and creator of the Paddington Bear children’s books. Bond’s first book A Bear Called Paddington was first published in 1958 and told the story of a bear found at Paddington Station in London, that is then adopted by the Brown family. Paddington Brown, as he is later named, loves marmalade sandwiches, and always manages to get into some type of trouble despite best intentions. Paddington’s adventures continue to delight children around the world, and are representative of middle class life in London.Bond’s first book was followed by over twenty Paddington books, which have sold 35 million copies worldwide, and are translated into 41 languages. In 1972 a lady by the name of Shirley Clarkson made her children a stuffed Paddington toy that was soon in demand by other children. Clarkson eventually obtained a license to manufacture the toys and Paddington stuffed bears became the must-have souvenir when returning home from London. A number of television programs were produced over the decades, the first in 1975. In 2014 StudioCanal produced a film called Paddington, and another film about the lovable bear is being planned for late 2017. Bond’s Bear Called Paddington, with his little suitcase, button-down coat, hat, and Wellington boots has become a British icon known the world around. Bond, who wrote over 150 books in his lifetime, received the OBE in 1997 and the CBE in 2015. He passed away at the age of 91 on June 27, 2017.For further reading, both the New York TImes and The Guardian have obituary columns for Michael Bond. The paddington.com website also has a great resource of historical and biographical information on the Paddington books and Michael Bond.Canadian Children’s Book Centre Best Books for Kids Submissions The Canadian Children’s Book Centre (CCBC) is now accepting submissions for the spring 2018 edition of Best Books for Kids & Teens (BBKT), the CCBC’s semi-annual selection guide to the best Canadian children’s books, magazines, audio and video, which will be released in May 2018. SUBMISSION DEADLINE: October 6, 2017 For more information visit the CCBC website.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.727 | 0.699 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".