Mystics, Mavericks, and Merrymakers: An Intimate Journey among Hasidic Girls
Bibliographic record
Abstract
Follows the journeys of Hasidic teenagers as they grow up and grapple with culture, family, and religionFrom the ardently religious young woman who longs for the life of a male scholar to the young rebel who visits a strip club, smokes pot, and agonizes over her loss of faith to the proud Lubavitcher with a desire for a high-powered career, Stephanie Wellen Levine provides a rare glimpse into the inner worlds and daily lives of these Hasidic girls. Lubavitcher Hasidim are famous for their efforts to inspire secular Jews to become more observant and for their messianic fervor. Strict followers of Orthodox Judaism, they maintain sharp gender-role distinctions.Levine spent a year living in the Lubavitch community of Crown Heights, Brooklyn, participating in the rhythms of Hasidic girlhood. Drawing on many intimate hours among Hasidim and over 30 in-depth interviews, Mystics, Mavericks, and Merrymakers offers rich portraits of individual Hasidic young women and how they deal with the conflicts between the regimented society in which they live and the pull of mainstream American life. This superbly crafted book offers intimate stories from Hasidic teenagers' lives, providing an intriguing twist to a universal theme: the struggle to grow up and define who we are within the context of culture, family, and life-driving beliefs
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.010 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.006 |
| 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".