Ecological Governance of Rubber in Xishuangbanna, China
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In recent years, the Xishuangbanna Tropical Botanic Garden (XTBG) and the Xishuangbanna prefecture government have woken up to the environmental threat that extensive monoculture rubber cultivation poses in this tropical site in southern Yunnan. In response, XTBG has become a centre of knowledge production on how to restore some ethnic minority farmers' rubber fields to natural forest. As is common globally, the plan relies on mainstream ecology and leaves out farmers' experience and opinions. Curiously, in the 1980s and 1990s XTBG was a centre of human ecology research on farmers' knowledge about managing ecosystems and protecting biodiversity. This paper traces the transformation in the values, actors, institutional configurations, and epistemic communities that enabled farmers' experiences to be central to knowledge production and inscription across surrounding landscapes in the 1980s and 1990s, only to be disparaged and ignored in the production of knowledge and landscapes in the 2000s. Farmers who once taught XTBG scientists the names of species and how to survive on them during the Cultural Revolution are now excluded from determining how to restore those same species to the hills around them. Our analysis suggests possible pathways for ecological knowledge to be generated as well as lost.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it