Bibliographic record
Abstract
Colleen, Marcie. Penguinaut. Scholastic, 2018. In the book Penguinaut, Marcie Colleen uses the story of a hopeful penguin to convey a message about adversity to young children. It is a story about a small penguin named Orville who overcomes challenges in order to achieve his big dream of going to space. Emma Yarlett’s illustrations are creative, entertaining, and fun. They help the reader understand just how small little Orville is in comparison to all of his other animal friends, reinforcing the idea that one should not be afraid of failure when achieving their dreams, despite any challenges they may face. It is evident that Marcie Colleen decided to use the style of text, paired with the illustrations, to help add enthusiasm, detail, and voice. The words “big” and “bigger” are in large capital letters, and sound effects are bolded. Speech bubbles are used for dialogue instead of quotation marks. The sentence “He was all alone” is accompanied by an illustration of stars in the dark outer space. And a picture of a note given to Orville by his friends to show their support is written in handwriting, including a hand-drawn picture. Penguinaut is a heart-warming book that offers lessons about adversity, resiliency, and friendship. Considering the length of the book, I believe there is room to explore these topics by including some additional detail to the story of Orville, the penguin. The messages this book conveys makes Penguinaut a good addition to an elementary school or public library. Recommended: 3 out of 4 starsReviewer: Erika Metcalfe Erika is a grade one/two teacher in Edmonton and is currently completing her Master of Education at the University of Alberta. When she is not teaching or studying, Erika is on the hunt for new books to read to 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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.487 | 0.333 |
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".