Make the Church Great…Again? Christian Ethics, Black Womanist Resonance, and the Paradox of Decline
Bibliographic record
Abstract
How do Black churches in the US participate in the down-ness/decline of black women in church and society? And how does such participation intersect with the twenty-first century surge of neo-fascism in the US? Negotiating the slogan that propels contemporary MAGA politics, Make America Great Again, the essay considers the challenge of constructive womanist ethics in the face of false narratives of decline that endeavor to make something that has never been great, great again. Finally, it considers the triumph of black womensethical living amidst enduring structural evil and death-dealing traditions in the church. It does this via a hermneutical excursus on Martin Luther King, Jr., the most prominent of the “great race men,” by retrieving how his mother, Alberta Williams King - and not just the men of his ancestry - molded his prophetic preaching and his understanding of present glory.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.037 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".