Interpreting interfluvial landscape transformations in the pre-Columbian Amazon
Bibliographic record
Abstract
Despite evidence for the protracted presence of humans in the Amazon Basin, its vast interfluvial habitats are frequently depicted as having survived until recently as ‘wild’ landscapes with neither human settlement nor substantial human land use. Related research interests of paleoecology and archaeology share parallel histories in the development of explanatory paradigms for understanding processes contributing to neotropical ecology, as both emerged from earlier periods dominated by models based on stability and equilibrium to a contemporary advocacy of dynamic stability and change. Recent paradigms accommodate humans as keystone species and implicate their role in past and present landscape management. This is particularly important in the neotropics where it is argued that an extensive and ancient indigenous agroforestry employed intermediate disturbance in the management of interfluvial landscapes. This is contrasted with a critical discussion of recent paleoecological research in central and western Amazonia, which argues that interfluvial landscapes were devoid of pre-Columbian populations and survived as relatively pristine relic landscapes throughout most of the Anthropocene.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 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".