Bibliographic record
Abstract
Ziegler, Jennifer. Sass and Serendipity. New York: Delacorte Press, 2011. Print. Based loosely on Jane Austen’s Sense and Sensibility, this book follows two very different sisters, the serious and sensible Gabriella (Gabby) and the younger, more romantic, Daphne. Both girls are reeling from their parents’ divorce and reduced financial circumstances and both deal with these problems in different ways. Gabby, firmly allied with her mother, blames her father for abandoning the family and rejects all notions of romantic love. Daphne idolises her father and believes that the boy of her dreams is waiting for her. When a crisis leaves the girls and their mother homeless, help comes from an unexpected source and both girls begin to see new possibilities in the people around them, especially two new suitors. This is a light, somewhat entertaining read, but both Gabby and Daphne are so self-centered and one-dimensional that the story quickly becomes tedious. Gabby is angry and mean to almost everyone around her, although her one friend Mule amazingly continues to tolerate her appalling behaviour. Daphne is so obsessed with romance that she is oblivious to the family concerns. Somehow, however, the girls find suitable boyfriends and this, more than anything else, causes them to become better sisters, daughters and friends. Recommended with reservations: 2 out of 4 starsReviewer: Kristine MoruziKristine Moruzi is a Grant Notley Postdoctoral Fellow in the Department of English and Film Studies at the University of Alberta, where she is examining representations of girlhood in Canadian children's literature between 1840 and 1940.
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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 | 0.001 | 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 | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.023 | 0.014 |
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".