Jean Michaud and Tim Forsyth, eds. <i>Moving Mountains: Ethnicity and Livelihoods in Highland China, Vietnam, and Laos</i>. Vancouver: UBC Press, 2011, xvi+235p.
Bibliographic record
Abstract
When the Government is Asleep"Moving Mountains is a nicely edited collection of papers relating to diverse situations in the uplands of three countries that fell under communist regimes: China (the portion south of the Yangtze), Vietnam, and Laos.The book regards this territory as the eastern portion of the Southeast Asian Massif or "Zomia" to use the term made current by Scott (2009), a mountainous land peopled by a wide variety of minorities from five ethnolinguistic families estimated to speak more than 1,500 languages.Regardless of one's assessment of Scott, the term is useful, though the inclusion here, like in Scott, of the Tai groups of southern China and northern Vietnam as Zomians is debatable, since the upland (or formerly upland) groups, despite their linguistic diversity, and despite being scattered over thousands of kilometers, share more in common with each other than with lowland groups who, in some cases, may live only a few meters away.Indeed, Zomia might more productively be considered a state of mind rather than a geographic territory.Also like Scott, the work focuses mainly on the bilateral relationship between the ethnic group and the abstract state (or markets, or global trends), as opposed say, to the multilateral interactions of groups with each other and the state.And while change emerges as a focus of the papers, what does not change appears as the main point in each instance, framed throughout the volume as agency.The governments involved all share the institutionalized hypocrisy of lauding ethnic diversity while at the same time insisting on sameness.What differs perhaps is the efficiency with which they are able to enact and maintain programs that support this pretense.The subtitle, Ethnicity and Livelihoods . . ., immediately casts the work into the realm of economic development and establishes its purpose as essentially didactic; cautionary tales to development organizations on what takes place beneath the surface when the civilizing project arrives in the mountains, or more to the point, when the mountains are brought to the state for Kyoto University
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".