Glocalization and Transnationalization in (neo)-Mayanization Processes: Ethnographic Case Studies from Mexico and Guatemala
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
In this article, the author focuses on the field of neo-Mayanity and its current transformations. She analyzes these transformations using a historico-ethnographic approach, which includes two phases. The first one consists in reconstructing the historical development of the “Mayan” category in two different social contexts. The second one focuses on current narrative and imageries produced around this category, stemming from ethnographic fieldwork in Mexico and Guatemala. Since the “2012 phenomenon”, in both countries, the accelerating transnationalization of the religious leaders has triggered a resignification of contents through various logics of rearrangement, innovation, cohabitation and glocalization. Finally, she demonstrates that the variations in the different ethnographies are linked with the religious leaders’ biographies and the modes of signification of the “Mayan” category—influenced by the socio-historical contexts of production.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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