Racial Justice and Racialized Religion: Are Progressive White Christians Getting It Right?
Bibliographic record
Abstract
Abstract The core question guiding this research is: What happens when the project of racial justice, specifically, anti-black racism, is taken on by white progressive Christians and their churches? Acknowledging religion as racialized allows our scholarship to be more discerning and less naive, especially regarding the true potential of racial justice—even among those who are most faithfully attempting to become antiracist. Drawing from preliminary data collected from congregations in the United States and Canada aligned with the Alliance of Baptists, a denomination explicitly committed to antiracism, I focus on a few significant dynamics, briefly summarized under seven themes: (1) Getting It Right, (2) The Volunteer Antiracist, (3) Congregational Politics, (4) Encountering Resistance, (5) Soliciting Cooperation, (6) Instrumentalizing Whiteness as a Ready Tool, and (7) Affirmation from Black Members. As data collection continues, this research remains open to developing more insights and revising tentative conclusions as the analysis proceeds further.
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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 | 0.003 | 0.010 |
| 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 | 0.011 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".