Toward a Christology for Korean Immigrants in North America: A Critical Interaction of James Cone and J.Y. Lee
Bibliographic record
Abstract
The catalyst for this essay is my own experience as a first-generation Korean Christian immigrant in the North American context. Although no one "experience" can become theologically normative for the Christian community, the experiences and voices of the oppressed and the marginalized have too long been ignored, or interpreted from the perspective of those who are culturally and politically dominant.! When we speak of "experience" as a factor in theological method, we acknowledge cultural, racial or gender specificities, and also we recognize the differences between the rich and the poor, the dominator and the dominated, those at the "center" and those at the margins. Experiences of the poor, oppressed and marginalized will provide hermeneutical insights, which may not only contribute to developing theologies for ethnic minorities in North America in particular, but also open windows for overcoming the limits of traditional theology.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".