Political Economy, Race, and National Identity in Central America, 1500–2000
Bibliographic record
Abstract
Abstract The relationship between historically specific ideas of race and national identity in Central America between the onset of Spanish colonialism in the region, in about 1500, and the end of the 20th century is very complicated. The relationship is rooted not only in the political economy of the region and subregions that were under Spanish colonialism, but also in Spain’s resistance to incursions of British colonialism in the area, particularly on the North Coast, well into the late 18th century, and in some areas of Central America into the 1850s. The nexus between the political economy of nation-state formation in the postcolonial setting deepened after break of the Federation of Central America in the late 1830s, especially after the rise of coffee and bananas as major regional exports. Independent governments in Guatemala, El Salvador, Honduras, Nicaragua, and Costa Rica tried to impose “imagined political communities” over these exports that would be different from the colonial identities designed by the Spanish imperialism of the past. In this 20th century context, mestizaje, or ladinizaje, became state sanctioned; it promoted racialized national identities in each of these countries, mostly the idea of ethnicity, albeit with critical regional and subregional differences, particularly between Guatemala and Costa Rica. Historiographies that have been influenced by postmodern sensibilities, particularly critical race theory, the new cultural history, and subaltern studies, have influenced recent understanding of the political economy of race and nationality in Central America.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".