Bibliographic record
Abstract
Abstract In this article, I argue in favor of an intersectional account of religious identity to better make sense of how religious subjects can be treated with epistemic injustice. To do this, I posit two perspectives through which to view religious identity: as a social identity and as a worldview. I argue that these perspectives shed light on the unique ways in which religious subjects can be epistemically harmed. From the first perspective, religious subjects can be harmed when their religion is racialized or when their gender and dress are mistakenly thought to be predictive of their beliefs and practices. As an instance of this, I focus on the epistemic harms facing Muslim women who practice veiling. From the worldview perspective, religious subjects can be harmed when we, by contrast, underestimate the force of the connections between religion, race, and gender. Such connections can give rise to intersectionally rich theologies that can in turn be marginalized and denied credibility. To illuminate the worldview perspective, I focus on Christian abolitionist and feminist Sojourner Truth.
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 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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.008 | 0.066 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".