Ancient Agropastoral System of the Bolivian Altiplano: a Robust Ecosystem Endangered from Changes in Land-use
Bibliographic record
Abstract
The current study examines the challenges and constraints faced by rural, small-herd, llama (Lama glama) agropastoralists of the Bolivian Altiplano. Three different study sites with various degrees of agropastoralism were examined in order to describe the relationship between quinoa (Chenopodium quinoa) and llama production and the implications of land use competition between these two livelihoods. In order to document the impact of land use change, the study also examined the native forage species available to free grazing llamas and their relative importance. Llama pastoralists were interviewed and completed a survey on the perceived importance of native forage plants in grazing llama diets as well as the perceived constraints to llama husbandry. The relative frequency of citation (RFC) index was employed as a measure of relative importance of different native forage plant species. This data was supplemented with further primary data collected from the field using mixed methods involving participatory rural appraisal techniques (PRA), interviews and focus groups. Secondary data was collected from an in-depth literature review, government offices and other relevant institutions. The study presents a detailed list of all cited native forage species and their perceived importance as a forage crop and any ethnoveterinary uses. The results reveal that challenges and constraints can often be site-specific, and a lack of forage throughout the dry season (May to November) was a general constraint among study sites. Quinoa production was found to be in direct competition with llama husbandry, with many sites demonstrating s shift away from llama pastoralism.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".