Race, Ethnicity, and the Bible: Pedagogical Challenges and Curricular Opportunities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Theological educators are now fostering dialogues, projects, and practices that are designed to acknowledge the challenges and opportunities resulting from the shifting racial and ethnic demographic climate in the U.S. and Canada. As well‐intentioned as these efforts are, most of the scholarship focuses on the contemporary experiences of underrepresented minorities, current institutional concerns, or practical classroom scenarios, leaving Scripture courses, which have long been the backbone of theological education, beyond the scope of critical engagement. In this article I argue that the existing scholarship on teaching and learning in general, and among biblical scholars in particular, does not adequately address the specific challenges that arise when questions about race and ethnicity are exposed in Scripture courses. Therefore, based on my own classroom experiences, I develop a pedagogy of (Emb)Racing the Bible that seeks to bridge the gap between theoretical readings and practical applications of ancient and contemporary discourses about race and ethnicity.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it