From Movements to Parties in Latin America: The Evolution of Ethnic Politics
Bibliographic record
Abstract
From Movements to Parties in Latin America: The Evolution of Ethnic Politics, Donna Lee Van Cott, Cambridge: Cambridge University Press, 2004,pp. 300. During the 1980s and 90s the English literature on Latin American politics in the Anglo North American and Anglo European academic worlds roughly evolved from works centrally concerned—and discursively interconnected—with various models of transitions to democracy to the necessary processes that the new electoral democracies had to undergo and the policies they needed to implement to advance in the process of consolidation of democracy. For scholars who essentially viewed these processes either as largely completed in institutional terms or on their way to institutional maturity and stability, the focus of scholarly attention then shifted to more subtle questions of democratic quality. Donna Lee Van Cott's From Movements to Parties in Latin America: The Evolution of Ethnic Politics is a work that not only fits into the category of works fundamentally concerned with the issues and challenges associated with either the consolidation of democracy literature or the quality of democracy literature, but it is also a work that helps to develop the literature by highlighting a central variable of Latin American culture and politics, namely, indigenous ethnic movements and politics.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.005 | 0.016 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".