Guardians of biodiversity: unraveling Guarani-Kaiowá biocultural memories and ecological wisdom in Atlantic rainforests
Bibliographic record
Abstract
This collaborative study represents a partnership between indigenous researchers from the Guarani-Kaiowá people in Brazil and non-indigenous collaborators, aiming to explore the rich biocultural heritage of the Guarani-Kaiowá concerning the forest and its biodiversity. The research methodology involved a diverse array of techniques, including interviews, guided tours, and free listing, a systematic approach to elicit cultural knowledge by asking participants to list items within defined categories. Grounded in participatory research, the study engaged three shamans and two traditional knowledge holders from two Guarani-Kaiowá villages, which was pivotal to the research. We documented, categorized, and analyzed 33 ethnospecies of flora and 17 of fauna. Our observations highlight the substantial complexity of Guarani-Kaiowá knowledge, integrating material, cosmological, and spiritual elements. The biocultural memories shared in this research offer invaluable insights into the ecosystems inhabited by the Guarani-Kaiowá. These intricate relationships emphasize the forest’s spiritual aspects and its guardianship of diverse orders and classifications, intertwining ecology with historical, social-ecological, geographical, and cosmological references. Narratives from shamans and traditional knowledge holders reveal the profound impact of environmental destruction on the Guarani-Kaiowá territory resulting from the prevalent agribusiness model, affecting various life forms and the community’s way of life. Understanding the processes that have impacted socio-biodiversity and territories, embracing aspects of political ecology, is fundamental for devising effective strategies for the restoration and conservation of social-ecological-cosmological systems.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.005 |
| 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".