Bibliographic record
Abstract
In this book, Blackford historicizes the appeal of the Persephone myth in the nineteenth century and traces figurations of Persephone, Demeter, and Hades throughout girls’ literature of the nineteenth and twentieth centuries. She illuminates developmental patterns and anxieties in E. T. A. Hoffmann’s Nutcracker and Mouse King, Louisa May Alcott’s Little Women, Emily Brontë’s Wuthering Heights, J. M. Barrie’s Peter and Wendy, Frances Hodgson Burnett’s The Secret Garden, E. B. White’s Charlotte’s Web, J. K. Rowling’s Harry Potter and the Chamber of Secrets, Stephenie Meyer’s Twilight, and Neil Gaiman’s Coraline. The story of the young goddess’s separation from her mother and abduction into the underworld is, at root, an expression of ambivalence about female development, expressed in the various Neverlands through which female protagonists cycle and negotiate a partial return to earth. The myth conveys the role of female development in the perpetuation and renewal of humankind, coordinating natural and cultural orders through a hieros gamos (fertility coupling) rite. Meanwhile, popular novels such as Twilight and Coraline are paradoxically fresh because they recycle goddesses from myths as old as the seasons. With this book, Blackford offers a consideration of how literature for the young squares with broader canons, how classics flexibly and uniquely speak through novels that enjoy broad appeal, and how female traditions are embedded in novels by both men and women.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.024 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".