Human migrations and volcanic activity: Archaeomagnetic evidence of the probable abandonment of the Tingambato archaeological site due to the eruption of El Metate volcano (Mexico)
Bibliographic record
Abstract
Abstract The archaeological site of Tingambato is one of the few evidences of the populations that settled in western Mexico during the Classic and Postclassic periods, before the development of the great Tarascan empire. Therefore, its study is fundamental to know both the characteristics of the culture that preceded the empire, as well as the phenomena that led to its formation. During the last decade, efforts have increased to reveal the history of this site. Thanks to the recent excavations, different archaeological materials belonging to the three construction phases of the place are available, which have served to define their main characteristics. In the present investigation, the magnetic characterization and dating of different archaeological materials belonging to the last occupational stage of Tingambato were carried out using archaeomagnetic methods. Some of these materials show evidence of exposure to fire after their elaboration. According to archaeological investigations, the ancient city of Tingambato was burned before being abandoned, so the ages obtained for four of the analyzed potsherds represent the first available dating for the abandonment of the site. Finally, these ages allow us to propose interpretations about the probable causes that led to its abandonment.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".