Pedagogy, Practice, and Parity: Prayer Experiences of Modern Orthodox Jewish Women in Toronto
Bibliographic record
Abstract
Through the disciplinary lenses of Religion, Education, and Gender/Feminist Studies, my research discusses pedagogy, practice, and parity. I conducted research with 9 Jewish women who self-identified as being part of Toronto’s Modern Orthodox Jewish community. This stream of Judaism is unique, in that girls have the opportunity to be prayer leaders in school at a young age, even though there are no female prayer leaders in mainstream Modern Orthodox synagogues. Girls learn to pray together with boys for the first eleven years of their lives, while knowing that they will pray on the other side of a gender-partition when they become Bat Mitzvah at twelve years of age. And yet, despite being independent women with agency, and despite having many other options in Toronto’s diverse Jewish landscape, many women choose to remain in this particular community in adulthood. This retrospective research endeavour asked participants to reflect upon their adulthood prayer practices, as well as their girlhood experiences of praying in Jewish day school. Connections were explored, leading to discussions about identity construction and conceptions of self, gendered experiences, and contradictory practices. My research seeks to uncover the relationship between prayer education and identity formation for girls, and the implications that this has on women’s communal leadership roles in adulthood.
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.010 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".