Human-Stone Interactions in the Precolonial Maya Lowlands: Working and Learning with Limestone
Bibliographic record
Abstract
Abstract This paper considers the complex entanglements from which stones and stone craftspeople emerged in the precolonial Maya world. Drawing from recent scholarship that emphasizes the relational and processual nature of making and knowing, it adopts a multi-practice perspective to explore how humans transformed limestone into knowable and workable materials and how, in turn, limestone transformed humans into knowledgeable and skilled individuals. Geoarchaeological, archaeometric, and experimental data from the central and northern Maya lowlands are combined to identify choices and preferences in selecting, extracting, and processing calcareous materials, and to examine what these reveal about past knowledge and skills. We then turn our attention to the ways in which quarry workers, lime producers, and toolmakers learned to work with stone. We argue that becoming attuned to limestone was a sociomaterial process that involved repeated interactions with both material elements and social actors. Our discussion highlights the active role of limestone not only in shaping learning experiences but also in facilitating connections between diverse practices, and thus contributing to a dynamic, interconnected landscape of knowledge.
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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 | 0.004 | 0.007 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 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".