Women in Greco-Roman Jewish Novels (300 BCE-100 CE)
Bibliographic record
Abstract
My dissertation analyzes the portrayal of women in Jewish novels of the Greco-Roman period (300 BCE-100CE): Greek Esther, Judith, Susanna, and Aseneth. During the Greco-Roman period, the female heroine frequently became the focus in Jewish novels. This innovation coincides with a concern over maintaining Jewishness. Several areas surrounding the maintenance of social identity appear in the Jewish novels, including dietary restrictions and the preservation of the family. Although a great deal of literature exists regarding the above texts, there are currently no systematic examinations of the portrayal of women’s Jewishness in regards to the Jewish novels. My dissertation examines the portrayal of women in the Jewish novels through a literary critical approach and questions how their representation can inform scholarship on how authors depicted Jewishness during this period. This dissertation treats the Jewish novels collectively and contributes to the scholarly discussion with a systematic examination of depictions of Jewish women in these texts. Following a brief introduction in Chapter 1, where I provide an overview and assessment of earlier treatments on the Jewish novels and the topics of women and Jewishness, Chapters 2 through 5 examine the portrayal of women in the Jewish novels. These chapters are organized around four distinct aspects of Jewishness which center on the representation of the female protagonists and their relationships in the narratives: 1) the representation of women’s sexuality, 2) the preservation of foodways, 3) kinship ties, and 4) the role of the protagonist in their Jewish community. In Chapter 6, I use a comparative approach to examine the depiction of women’s Jewishness in the novels, which demonstrates women’s active roles in maintaining and defining Jewishness. Chapter 7 concludes the dissertation with a summary and recommendations for future work.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".