Bibliographic record
Abstract
ABSTRACT On April 20, 2008, Paraguay elected rural bishop Fernando Lugo as its president, ending the reign of the Colorado party that had ruled the country since 1947. The election spurred a political shift to the left and considerably transformed the relationship that the national soy industry had forged with the state bureaucracy in previous decades. Progressives, intellectuals, and activists became employed by the same legal apparatus they had protested against for years. Correspondingly, public institutions that had been partly built by the soy industry were suddenly staffed by some of the sector's most ardent critics. In The Government of Beans , Kregg Hetherington explores this peculiar political juncture so as to offer wider reflections on governance in the Anthropocene. To this end, he relies on 17 short chapters that are grouped into three parts. Part I ( Cast of Characters ) presents us with the people and plants that the book is about. Over the course of six chapters, Hetherington historicizes the conjectures that laid the groundwork for the emergence of soy and its politicization, guiding us past, among others, the Stroessner dictatorship, cotton‐growing colonists, soy‐growing colonists displacing the earlier cotton growers, herbicides, Roundup Ready beans, the present–absent state, and 1990s neoliberalization.
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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) | 0.000 | 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 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".