Bibliographic record
Abstract
Abstract This chapter examines the historical usage of the category of mestizaje by scholars, arguing that it continues to be a useful theological category, because it elucidates the divine dismantling of structures of racialized, cultural, and religious power. Mestizaje constitutes an ethical praxis and ethos unwilling to succumb to easy recipes of “inclusion,” “unity,” and “hospitality.” The concept of mestizaje remains useful as it is used to celebrate and wrestle with complex and fluid multicultural, multilingual, and multinational history and ancestral lines for which it is a cipher. The crucial insight gleaned from mestizaje is its open-endedness; it thrives on diversity and heterogeneity while subverting false notions of purity, homogeneity, unity, and whiteness. Mestizaje is an attempt to actively reject social, cultural, and economic structures of discrimination, racism, and marginalization. This chapter argues that it also rejects intellectual frames which undermine the rich cultural, contextual, and experiential component of lived faith experiences as part of human activity and struggles for justice.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| 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".