Bibliographic record
Abstract
Telgemeier, Raina. Drama. New York: Graphix-Scholastic, 2012. Print.The book I'm reading is called Drama. Raina Telgemeier wrote this book. It was published by Graphix.This book is about a girl named Callie. At first she has a crush on a grade 8 student named Greg. She liked him until his ex-girlfriend Bonnie got back with him. At stage crew they were putting on the moon over the Mississippi. Callie met twins named Justin and Jessie but then she find out that Justin is gay so then she starts to like Jessie.I liked that Callie had so much drama in her life. At first she liked Greg now likes Jessie and with Matt getting mad at her. This book was so fun to read. Well I guess you have to read the book now. I could never hate this book. It was like I was living her life. I rate this 5 stars out of fiveHighly Recommended: 5 out of 5 starsReviewer: SadyMy name is Sady. I love to read fantasy books. My favorite book is Drama. My favorite place to read is in my class. I hate non-fiction books because I think they are boring to 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.145 | 0.096 |
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".