Centering the Classic Maya Kingdom of Sak Tz’i’
Bibliographic record
Abstract
In this article, we provide the results of preliminary archaeological and epigraphic research undertaken at the site of Lacanjá Tzeltal, Chiapas. Field research conducted in 2018, in collaboration with local community members, has allowed us to identify this archaeological site as the capital of a kingdom known from Classic period Maya inscriptions as “Sak Tz’i’” (White Dog). Because all previously known references to the kingdom came from looted monuments or texts found at other Maya centers, the location of the Sak Tz’i’ kingdom’s capital has been the subject of ongoing modeling and debate among scholars. Here we synthesize prior epigraphic and archaeological research concerning Sak Tz’i’, highlighting past efforts to locate the kingdom’s capital. We then discuss the results of preliminary survey, mapping, and excavations of Lacanjá Tzeltal, and present the first drawing and decipherment of Lacanjá Tzeltal Panel 1, the sculpture crucial for centering this “lost” Maya kingdom.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".