Method and Theory of Early Farming: The Orinoco and Caribbean Coasts of South America
Bibliographic record
Abstract
The early and mid 20th century was a time of great interest in the rise of agriculture and its role in the evolution of civilizations societies in particular environments. Late 20th century efforts to reconstruct the nature and history of prehistoric farming societies in the northern lowlands of South America ranged from expansive hypotheses to regional case studies using archaeobotanical technologies then available. Since 2000, a large number of regional studies using expanded and refined methods have produced broadly interesting results. Approaches from the fields of geography and earth sciences are being recruited increasingly. The resulting empirical evidence does shed light on aspects of the history of human use of some plants but, as always, has raised more questions than it solved. Many of the problems interpreting the processual and evolutionary significance of these findings are methodological ones. This article reviews what seem to be the most important methodological and interpretive issues of this area of research for the tropical lowlands (up to c. 1500 m a.s.l) of northern South America.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".