Vascular Flora Used in the Construction of Traditional Mayan Houses in the Yucatan Peninsula: A Case Study in Camino Real, Campeche, Mexico
Bibliographic record
Abstract
Over the centuries, human interaction with natural resources has allowed us to build knowledge that has given rise to cultures and regions around the world. In Mexico, particularly in the Yucatán Peninsula region, the traditional Mayan house (TMH) represents a symbol of identity and ancestral knowledge of the Mayan culture and a way of life for the inhabitants of rural communities. However, there is little information on the flora used as raw materials for the construction of the TMH; considering that its structure is being modified with modern materials. The objective of this study has been to identify the different plant species used as raw materials for the construction of TMHs in different Mayan communities in northern Campeche, Mexico. A total of 27 surveys were conducted in seven communities using the snowball method, using non-probability convenience sampling. In total, 100% of the respondents were male, between 18 and 86 years old, of whom 73% learned about the construction of the TMH through knowledge transferred by their parents, while the remaining 27% learned from their grandparents. For the construction of the TMH, a total of 18 plant species were recorded; 100% of the respondents mentioned that they use Sabal yapa “Xa’an guano” (in Mayan) for the construction of the roof. Another 18% mentioned the use of grass (Spartina spartinae). It can be therefore concluded that there is a hybridization of the TMH, since the roofs are replaced with zinc sheets due to the low cost of modern materials and the low availability of Sabal yapa in some areas of northern Campeche.
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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 | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".