Bibliographic record
Abstract
Telgemeier, Raina. Sisters. New York: Scholastic, 2014. Print.In this graphic novel, Telgemeier tells the story of two sisters - namely herself, Raina, and her sister, Amara. Raina dreams of the day she will become a big sister but, when that day arrives, it is nothing like she imagined. Her younger sister likes to play by herself, is always cranky and does not want much interaction with anybody, including the long-lost cousins they visit. We watch as the family grows bigger in an apartment that seems to shrink. Tight quarters do not help the relationship between Raina and Amara especially when each girl wants her own privacy. In a story told over a long family road trip mixed in with memories from the past, Raina comes to see maybe having a sister, even one who is different than she expected, is maybe not so bad after all.Telgemeier’s drawing will delight readers with her characteristic colourful pictures that are easy to absorb and understand. Young readers will know when the author is in the present tense and when she is relating a story in the past as the colours of the pages turn a time-worn yellow. This makes the jumping back and forth in time a smooth transition for readers. In a story that is relatable about siblings, family life and growing up, young readers will find her humour funny and timely. This book is a must-have for every school and public library.Highly recommended: 4 out of 4 starsReviewer: Shawna ManchakowskyShawna Manchakowsky recently completed her MLIS at the University of Alberta. When she is not working at Rutherford Library as a Public Service Assistant, she can be found with her husband parenting her two young girls; avoiding any kind of cooking; and reading for her two book clubs. In between book club titles, she tries to read as much teen fiction as she can get away with.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.188 | 0.098 |
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".