Sak Tz’i’, a Classic Maya Center: A Locational Model Based on GIS and Epigraphy
Bibliographic record
Abstract
Abstract The ancient Maya hieroglyphic inscriptions of the upper Usumacinta region record an intensive interaction that took place among its regional capitals. The precise geographic locations of some of these sites are presently unknown. Through the application of the Gravity Model within the framework of Geographic Information Systems (GIS), we present the probable locations and possible territorial extents of a few of these: Sak Tz’i’, Hix-Witz, and the “Knot-Site.” On this occasion, however, we concentrate our discussion on the role that the kingdom of Sak Tz’i’ played in the geopolitical scenario of the region. It is our belief that this case study constitutes a good example of how, through a conjunctive approach that integrates the archaeological with the epigraphic data, GIS can represent an excellent analytical tool to approach archaeological issues such as the political organization of the Maya Lowlands during the Late Classic period.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".