A Case Study of the Mayan Civilization and Strategies Used by Mayan Society for Judicious Use of Water in their Ancient Agroecological Systems
Bibliographic record
Abstract
The Mayan civilization is one of the best known ancient cultures that inhabited Mesoamerica. It originated around 2600 BC in the Yucatan Peninsula, El Salvador, Belize and Honduras. Recent research indicates the devastating impacts of climate change on this culture. Researchers found signs of historic droughts that affected Mayan society, and the information provides answers to longstanding questions about the role climate change played in Mayan cultural collapse. The dominant agricultural systems of the Mayan civilization were mostly intensive farming systems based on a rotational slash and burn process. Most of their crops were grown on a rotational pattern for their own consumption, and comprised mostly maize, squash and beans. When the soil lost its fertility, Mayan farmers applied slash and burn on a new area of the local forest; meanwhile the abandoned area recovered its fertility under period of fallow when the forest regenerated. The current review highlights the available information on the impact of the Mayans on the natural resources and the impact of climate change on ancient Mayan society.
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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 | 0.001 | 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 | 0.005 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".