Bibliographic record
Abstract
Viva, Frank. Sea Change. Toon Books, 2016.What kid ever wants to be shipped off to some old relative’s place for the summer? Well, if you read any juvenile literature the answer is, of course, almost none. And Eliot is no exception.At first glance, Point Aconi, Nova Scotia does seem an unlikely place to have the ‘great time’ that Eliot’s mother claims he’ll have. There’s the offhanded old great-uncle and his mangy old dog, a rag-tag bunch of kids, some who have issues, the very unappealing food (tongue and onions or pickled pigs feet) and having to work on a fishing boat, all of which seem like a nightmare come to life.But, as in most of these kinds of novels, Eliot comes to love and appreciate the unique locale, care about the quirky kids who live there, and adapt to local ways. His growing maturity is evident when he takes on a local bully and helps him get a job. He also figures out the best way to help his new best friend, Beth, who is being physically abused by her father.Despite the predictability of some of the storylines, the strengths of the story are found in the strong sense of place and the various characters who live there. Viva is an author, illustrator and designer with several picture books to his credit and certainly, the quality of the book’s production is high with many artsy, retro-style illustrations and text formatting that is reminiscent of concrete poetry. The text flows and bends to highlight Eliot’s thoughts and observations, making the book all that more interesting.This short illustrated novel should find an audience with middle grade readers who like stories with interesting characters. The Canadian context makes this attractive for classroom use, too.Recommended: 3 out of 4 starsReview: Tammy FlandersTammy is the Reference Coordinator in the Doucette Library of Teaching Resources at the University of Calgary. She also reviews juvenile resources with an eye to classroom use in her blog, Apples with Many Seeds.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".