Bibliographic record
Abstract
Atkinson, Cale. Where Oliver Fits. Toronto, Tundra Books, 2017.
 Oliver is a unique little puzzle piece with a cute round head smattered with blue and orange. He wants to be part of a bigger picture and goes on a journey to find where he fits. As he finds different puzzles, he discovers that the other puzzle pieces are not like him at all. Some puzzle pieces complain that he does not have enough of the right colour to fit properly. Others say that he is not the right shape. Determined to find his place in the world, he decides that he needed to be more like others in order to be accepted.
 He uses creative strategies to change his shape and colour, however, after continuing to be rejected, he becomes desperate enough to create a disguise to finally fit into a puzzle. Although he finally finds his fit, Oliver begins to question whether or not it was right to pretend he was someone else and learns that it is better to be himself. 
 This is a wonderful story of imagination. Children learn through the eyes of Oliver that it is better to be one’s true self rather than changing to fit in. The illustrations are bright, colourful, and capture all the conflicting emotions that Oliver goes through. Designed for children ages 3-7, this book provides a good moral lesson in a fun and creative way. 
 Recommended: 4 out of 4 starsReviewer: Janice Kung
 Janice Kung is a Public Services Librarian at the University of Alberta, John W. Scott Health Sciences Library. She obtained her undergraduate degree in commerce and completed her MLIS degree in 2013. She believes that the best thing to beat the winter blues is to cuddle up on a couch and lose oneself in a good book.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".