Bibliographic record
Abstract
Hatanaka, Kellen. Work: An Occupational ABC. Toronto: Groundwood Books, 2014. Print.At first glance, you may look at this book and think it just like the myriad of other ABC books for young children and preschoolers, but you would be delightfully wrong! Yes, of course, each letter from A to Z is represented and indeed each letter is accompanied by an image that characterizes the letter. But that is where the similarities end. Toronto-based designer, illustrator and artist Kellen Hatanaka, who can now also call himself a first time author, has created a beautiful and unexpected piece of art for the youngest readers and it is as much a delight to read as it is to behold. With creamy paper and softly-coloured images, created digitally after first creating ‘hand-drawn patterns and images’, it is reminiscent of a small person’s version of a coffee table book, if said coffee table were in a nursery.It starts out simple enough, with A for Aviator and a full page spread with a boldly-coloured A as well as mountain tops that echo the A’s shape. The next page, however, alerts the reader to the fun in store – B is for Butcher, shown chasing after a group of raccoons who have absconded with a string of sausages. Yes, there are occupations like Grocer and Tailor but there are also the Ice Cream Vendor, K-9 Officer and the Wedding Singer! What’s wonderful to note are the many alternative occupations, some that you may have not have heard of, and that there is a nice mix of women, men, and cultures taking part. For the curious reader, there is a section of funny ‘Want Ads’ which provides a short description of the occupation.This would make a wonderful new baby gift and is an excellent addition to a home or public library.Highly recommended: 4 stars out of 4 Reviewer: Debbie FeisstDebbie is a Public Services Librarian at the H.T. Coutts Education Library at the University of Alberta. When not renovating, she enjoys travel, fitness and young adult fiction.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.034 | 0.024 |
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".