Bibliographic record
Abstract
The use of the "Maya past" for tourism marketing purposes has been a successful tool for attracting international visitors to Mexico for decades. Images of the Maya zone emerge, in part, from an academic focus on the "Maya past" that includes curiosity about the so-called "collapse" of the Classic Maya civilization. The Ancient Maya are seen as “mysterious" and their society as "enigmatic". But the voices of the almost thirty million Maya people who live in Mexico and Guatemala are only vaguely heard in the discourses of tourism and of academia. This paper examines three competing discourses of the Maya and proposes that these discourses represent epistemologies that are nested in relationships of power, such that the Maya discourse is silenced. As such, the dominant discourses of the Maya past can undermine the Maya understanding of their own past, and become a self-fulfilling prophecy regarding the “collapse” of the contemporary Maya.
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.015 | 0.040 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.005 |
| 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".