Bibliographic record
Abstract
Viva, Frank. Outstanding in the Rain: A Whole Story With Holes. Tundra Books, 2015.Frank Viva is an illustrator and designer, so design, rather than storyline, is the strength of this work. The illustrations are a simple, retro-modern, cartoon-like style. Viva uses a palette of five tints: blue, yellow, red, brown, and white. This gives Outstanding in the Rain a “vintage” look.This children’s picture book is a collection of oronyms, words or phrases that sound the same but have different meanings, woven into a simple story about a boy’s trip to the amusement park. For each oronym pair, Viva incorporates a die-cut hole into the text. Words from the following page are shown as part of the sentence of the page being read. When you flip the page, the die-cut reveals a different picture and the second part of the oronym is also revealed. For example, the words “night rain” in the phrase “The night rain is just beginning to fall” turn into “night train” in the text of next page, “The night train is coming-I hear its call”. The combination of die-cuts, oronyms, and rhyme is complex and clever. Even the title and subtitle, “Outstanding in the rain” and “A whole story with holes”, both include plays on words.Children will have fun playing with the words in the same way that Viva has played with them. This book would be a great tool for teachers to introduce having fun with language, specifically oronyms. Upper elementary children would have the most fun with the double meanings, but even adults would enjoy this book.Highly recommended: 4 stars out of 4Reviewer: Stephanie BorleStephanie Borle is a University of Alberta student of linguistics who enjoys working with children and new immigrants. She spent a year teaching English as a Second Language in Japan to kindergarten and junior high school students.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.015 | 0.008 |
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".