Bibliographic record
Abstract
This article examines how religion, including new religious movements as well as older options in new contexts, combines with ethnic and community attachments in shaping the identity of Guatemalan economic migrants in southern California. While the literature on transnationalism tends to view religion and ethnicity as different though sometimes overlapping means by which migrants seek incorporation into new social and political contexts, the ethnographic evidence presented here suggests more complicated dynamics. These are reflected in the experiences of three migrants from a single indigenous community in Guatemala, each with different backgrounds of faith and ethnic identity: a nominal Catholic in his early 20s who is sympathetic to Mesoamerican shamanism though ambivalent about Maya ethnic identity; a middle-aged Pentecostal Christian who is ambivalent about religious practice and belief in the United States and rejects the Maya ethnic label; and a convert to Mormonism in his 30s who has attenuated his ties to his home community while adopting a broader Maya ethnic identity. To interpret these experiences, I develop an analytical framework which draws upon some of Thomas Csordas’ ideas about religion in globalization but stresses a renewed attention to community as a persistent, if ambivalent and perhaps inherently conflictive, site for identity formation, especially in the context of migration.
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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 | 0.000 |
| Science and technology studies | 0.009 | 0.015 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".