Karen E.H. Skinazi, Women of Valor: Orthodox Jewish Troll Fighters, Crime Writers, and Rock Stars in Contemporary Literature and Culture. New Brunswick: Rutgers University Press, 2018. 290 pp.
Bibliographic record
Abstract
This lively and readable book opens the window to a rich and vibrant world of Orthodox, or religiously observant, Jewish women who keep kosher and Shabbat while holding jobs, solving crimes, confronting prejudice, and making music. Drawing on memoirs, novels, film, and a graphic novel, Karen Skinazi argues that Jewish women find opportunities for personal empowerment through religious observance, and that their actions within the tradition (and against it) offer opportunities for corrective approaches to the tradition and to its perception by outsiders. The book is structured around selected verses of “Eshet ḥayil”—“Woman of Valor” (Prov. 31:10–31)—an acrostic poem that is sung on Friday nights as part of the Shabbat observance (the term also refers to any woman who is an active public figure). For Skinazi, the initiative, authority, energy, and intelligence ascribed to the woman of valor in the poem offers a counternarrative to mainstream fictional and media depictions of religious observance. The book thus offers itself as a feminist affirmation of religious practice in the post-secular age as described by German philosopher and sociologist Jürgen Habermas and Canadian philosopher Charles Taylor....
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.006 |
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".