Racial narratives: Miskito and colono land struggles in the Honduran Mosquitia
Bibliographic record
Abstract
This article examines the multiple ways race and racialized processes are embedded in Miskito Indian and ladino colono land struggles in Honduras. In the context of more than 30 years of state refusals to formalize the boundaries of Miskito ancestral territories, this article interrogates the ways in which the state accommodates ladino colono encroachments inside Miskito space. State and colono challenges to Miskito customary claims echo early post-colonial narratives of integration under the Civilization Program. Drawing from ethnographic accounts, this article illuminates how meanings and practices are intertwined in the way land use production and racial hierarchies are mutually constituted. Thus, I argue that Miskito, state and colono narratives of land struggle draw on, contest and reinvigorate a longstanding state nationalist project of ‘whitening’ where racial imaginaries are encoded in environmental arrangements and assessed through ascendant conceptions of suitable and unsuitable land use practices.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.013 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".