The Ecology of Class: Revolution, Weaponized Nature, and the Making of Campesino Consciousness
Bibliographic record
Abstract
Mexican villagers endured three decades of dispossession during the late nineteenth-century dictatorship of Porfirio Díaz (1876–1880, 1884–1911). The transfer of most lands held by communities known as pueblos led many rural people to join the Mexican revolution of 1910–1917, and it helped to structure the postrevolutionary politics. Using E. P. Thompson's concept of “community,” this article suggests that villagers' sense of solidarity formed by their shared lives within the pueblos, and leavened by collective experiences during the Díaz dictatorship and revolution, helped them to forge a new identity as campesinos with an inherent right to land reform during the postrevolutionary era. A core component of campesino identity was opposition to hacienda owners. This opposition set up a struggle over land during the 1920s and 1930s that led some landowners to “weaponize nature” by destroying natural resources such as forests rather than turning it over to villagers through the land reform.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.028 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".