Bibliographic record
Abstract
Bell, Cece, and David Lasky. El Deafo. New York, NY: Amulet Books, 2014. Print.The book I chose was El Deafo. It was written by Cece Bell and R.J. Palaciao, published in 2014 by Amulet books. This story is about a four year old bunny that got sick and had to go to hospital. Her brain was swelling. Then she got home and discovered she was totally deaf and had to wear hearing aids. Then they move and she went to a new school. A new boy moves into the neighborhood and Cece likes that boy named Mike Miller. One day she was running with her new friend through the trees and poked her eye. After her eye healed then she got blind and had to get glasses. I like how Cece thinks she's a super hero it’s cute. And it’s also cute when she likes Mike Miller. I like how she has a sidekick that’s her friend. And I love how they make those warm fuzzies at the end! I don’t like when that dumb bully broke Cece's pencil it was mean. I don’t like when those girls push her around that was also mean! It’s sad when she was a loner at first then she found new friends! I would give this book a rating of 5 out of 5. It is fantastic!!!Highly Recommended: 5 out of 5 starsReviewer: CharityMy name is Charity. I like to read fictional books. My favorite place to read is my window sill. My favorite book is Yandere journal. I think reading is important because it helps people read and makes them smarter that’s what I think about that!
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.309 | 0.192 |
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".