The Politics of Pastoralism:Navajos, Churras and the Challenges of Sustainability in a Globalizing World
Bibliographic record
Abstract
Navajos, or Dine', were dramatically affected by rapid changes in two of the three largest post- Civil War domestic industries: agriculture and textiles. In my 2010 TSA paper, I revealed how changes in the wool tariff triggered an escalation in textile production by thousands of Navajo weavers, as traders sought ways to market the unstandardized wool clip. Another under researched aspect of Navajo history concerns how the federal government's haphazard attempts in up-breeding Navajo flocks to national market standards triggered a failed development policy, resulting in the reduction of one-half their livestock during the Depression. For sixty years the government restricted traders from purchasing breeding stock in order to ensure Navajos' self-support. This proscription coupled with a lack of price supports for purchase of non-breeding stock to relieve overcrowding, resulted in an overgrazed range. Thus, conflicting government policies culminated in stock reduction which targeted churros, the coarse-woolled breed preferred by spinners and weavers. Weisiger (2009) reveals how this centerpiece of John Collier's conservation reforms failed because Navajo women, owners of all of the goats and most of the sheep, were shut out of the political process. Many Dine' resisted up-breeding since churros have resilient characteristics lacking in other breeds. Given women's high status traditionally, as reflected in their Creation narratives and matricentered social geography, Navajos' relational ontology incorporates k'e, networks of reciprocity encompassing the non-human world. These networks persist, as revealed in the film Weaving Worlds, confirming how the empirically based ecological understandings of Dine' are intimately tied to their social structures.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.014 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".