The Many Archaeologies of Minas Gerais
Bibliographic record
Abstract
This paper presents a critical history of research in archaeology - particularly prehistoric - held in the State of Minas Gerais (central Brazil) since the nineteenth century. After the pioneering phase (P. W. Lund, and some nonprofessional people) some international missions focused the Lagoa Santa region in the third quarter of the twentieth century, while a PRONAPA team made a preliminary survey in the upper valley of the São Francisco River. The beginning of more systematic research by the Instituto de Arqueologia Brasileira in the northern part of the State and the creation of the Department of Prehistoric Research at the Federal University of Minas Gerais (UFMG, Belo Horizonte) in the second half of the 1970s, open a phase of more intensive, regionally and thematically diverse research. The beginning of the XXI century is characterized by the proliferation of rescue archaeology, the emergence of new research centers and the creation of training courses for archaeologists at Federal University of Minas Gerais. The caves of the State are notorious by the importance of preservation of perishable materials and of human skeletal remains of great antiquity. The diversity and variety of regional industries, made from very different raw materials, are also important. The archaeology of historical period, very dynamic in the recent years, focuses much more colonial gold mining structures, fazendas and maroon slaves settlements than the archaeology of urbanization and Baroque monuments.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".