Bibliographic record
Abstract
Benton, Jim. Dear Dumb Diary. [Series]. New York: Scholastic. Print.I enjoy Dear Dumb Diary because it’s funny. Her mom goes to the store then her and everyone else. This other girl didn’t want to go because she wanted to stay home alone. She ends up making a big mess and then her mom got mad at her. She ended up having to go to her room. Once she cleaned her room, she got to stay in and have popcorn. It’s not a bad book to read, some parts are good and some are boring. I really like "Diary of a Wimpy Kid" cause it’s funny and this book is along the lines of that idea. It just deals with the life of a girl. I rate this book at 4 out of 5 because it has some interesting information and it can sometimes be like my life.Highly Recommended: 4 out of 5 starsReviewer: JerlaineMy name is Jerlaine. I like to read stories. I like to read because it makes you feel like you’re with different people and different times. The books that I like to read are Diary of a Wimpy Kid and Babysitters club. I enjoy it its cause it’s a bit easier to read. Whenever I get bored at home or at school, I read.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.255 | 0.222 |
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".