Bibliographic record
Abstract
A compelling look at the lives of ultra-Orthodox and formerly ultra-Orthodox Jewish women and their use of media technologies to create a new market for music and film Mainstream portrayals of ultra-Orthodox religious women often frame their faith as oppressive: they are empowered only when they leave their community. This book flips this notion on its head. Drawing on six years of fieldwork between New York and Montreal, Jessica Roda examines modern performances on the stage and screen directed by and for ultra-Orthodox women. Their incredibly vibrant Jewish artistic scenes defy stereotypes that paint these women as repressed, reclusive to their shtetl (village), and devoid of creativity and agency. For Women and Girls Only argues that access to technology has completely transformed how ultra-Orthodox women express their way of being religious and that the digital era has enabled them to create an alternative entertainment market outside of the public, male-dominated one. Because expectations surrounding modesty, ultra-Orthodox women do not sing, dance, or act in front of men and the public. Yet, in a revolutionary move, they are creating “women and girls only” spaces onsite and online, putting the onus on men to shield themselves from the content. They develop modest public spaces on the Internet, about which male religious leaders are often unaware. The book also explores the entanglement between these observant female artists and those who left religion and became public performers. The author shows that the arts expressed by all these women offer a means of not only social but also economic empowerment in their respective worlds. For Women and Girls Only is a groundbreaking reversal of mainstream portrayals of ultra-Orthodox religious women, and of those who have left the community yet maintain ties to it. It is the first work to focus on the ultra-Orthodox female art scene in music, film, and dance across North America and on social media.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.234 | 0.144 |
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".