Black Jeremiads: Maria W. Miller Stewart’s Jeremiah Appropriation for Liberation
Bibliographic record
Abstract
Maria W. Miller Stewart, an African American abolitionist, moral reformer, and educator, has been called America's preeminent Black Woman Jeremiah. Attracting large crowds with her abolitionist speeches in the 1830s, her writings, sermons, and lectures were thick with knowledge of the scriptures, with her original thoughts and scriptural references nearly indistinguishable in her personification of a biblical prophet to her context. The question explored is to what degree Stewart's reception and appropriation of the book of Jeremiah influenced her effect as a Jeremiah in her own time. I argue Stewart demonstrated how the act of textual appropriation is central to the embodiment, experience, and liberation of her community and nation. Further, Stewart's textual appropriation – leading her to air numerous social and political grievances within and external to the African American community – laid the foundation for her rhetoric, providing agency for resistance for the African American community and other abolitionists.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".