The price of spice: Ethnic minority livelihoods and cardamom commodity chains in upland northern Vietnam
Bibliographic record
Abstract
The northern uplands of Vietnam are witness to rapidly developing commodity markets for a range of forest and agricultural products. Since the early 1990s the cultivation of black cardamom (Amomum aromaticum) has become a source of cash income for a growing number of ethnic minority households in these uplands. Drawing on ethnographic fieldwork, and utilizing a commodity chain and livelihoods approach, this article investigates the contemporary dynamics surrounding the cultivation, harvesting and trade of dried cardamom fruit from Hmong cultivators in Lao Cai province to consumers elsewhere in Vietnam and beyond to China and the global market. We analyse the spatial and social structures of these commodity chains, drawing attention to a range of mechanisms of access. We find that these mechanisms are reliant upon specific ethnic relations as well as different forms of capital that together sustain economic advantages for particular actors. While focusing on the ethnic minority cultivators active in these commodity chains, we also call for more nuanced understandings of how the trade in forest products fits within local agricultural systems and household livelihood decision making processes in the Vietnam uplands.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".