Bibliographic record
Abstract
Davidson, Leslie A. In The Red Canoe, illustrated by Laura Bifano. Orca Book Publishers, 2016.“In the Red Canoe” is a fictional picture book written by Leslie A. Davidson and illustrated by Laura Bifano. This beautiful story takes place by a lakeside cottage and follows the magical exploration of nature by a grandfather and his grandchild. As they paddle along the lake in a red canoe, they are surrounded by the many delightful elements of nature including vibrant flowers, elusive frogs and soaring birds. Written in first person through the eyes of a young child, this book engages all readers who may have grown up with a family cottage and stimulates the curiosity of readers who may have not yet had the chance to explore nature.The poetic pattern of this text is presented in a smooth, rhythmic way. The descriptive language is delicate and the beauty of nature is captured through strong imagery. The author’s chosen words of “We don’t say much we mostly look” represent the magic of this book as the elegance of this story could have been depicted solely with the images.The vivid illustrations of this story capture the breathtaking scenery that exists in the outdoors and celebrate the personal connection of grandparent and grandchild through painted images of physical and emotional closeness. The pictures do not clearly specify the gender of the grandchild which make this story easy for most children to connect with.Highly Recommended: 4 out of 4 starsReviewer: Kerstin SkowKerstin Skow is a grade 2 french immersion teacher with Edmonton Public Schools and is currently completing her Master’s Degree in Elementary Education at the University of Alberta. Kerstin was an avid reader growing up and enjoys fostering a love of reading in her students.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.092 | 0.045 |
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".