Bibliographic record
Abstract
For centuries, people who call themselves Akha had formed village landscapes of rotating shifting cultivation fields amid regenerating trees together with enduring wooded sites, all under the purview of their ancestors. In Mengsong, an Akha settlement on the ridge separating China and Burma, farmers had managed complex, biodiverse and flexible landscapes for 250 years. In 1996–1997, my extended research there identified cultivation patterns that I called landscape plasticity, referring to farming practices that were highly mutable over space and time, often transgressing state-allocated property lines and the international border with Burma. From 1997 to 2011, a combination of exclusionary state forest policies, the racialization of upland minorities, and a state poverty alleviation project brought landscape plasticity and the ancestors to an end. Using concepts from sentient landscapes, resource access, environmentalism, racialization, and capitalist markets, this paper seeks to explain how landscape plasticity and the ancestors were erased. At the same time, I explore the puzzle of why Akha farmers saw these contingent outcomes as positive
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.032 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".