Bibliographic record
Abstract
Based on a multi-sited study of five Messianic Jewish congregations in North America, this paper analyses the widespread tendency for gentile (non-Jewish) adherents to hint about having ‘Jewish DNA’. I argue that Messianic Judaism’s theology and social structures promote the search for Jewish roots while also suppressing it, which results in the grassroots circulation of hints in a ‘semi-public’ register. Bringing together work by Kim Tallbear on gene talk and Veena Das on rumours, I frame these hints as unfinished stories that may benefit believers within religious communities oriented around individual seeking. However, my second point concerns how such ‘hints’ serve as, what Ritchie Lowry calls, ‘a primary means for informal social control’. The semi-public genre encourages informal strictures, often based on the racialisation of ‘Jewish DNA’. I end by exploring another aspect related to registers of disclosure regarding my role as a fieldworker who conceals other people’s secrets.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".