Bibliographic record
Abstract
Ethnic minority communities make claims for cultural rights from states in different ways depending on how governments include them in policies and practices of accommodation or assimilation. However, institutional explanations don’t tell the whole story, as individuals and communities also protest, using emotionally compelling narratives about past wrongs to justify their claims for new rights protections. Democratization and Memories of Violence: Ethnic minority rights movements in Mexico, Turkey, and El Salvador examines how ethnic minority communities use memories of state and paramilitary violence to shame states into cooperating with minority cultural agendas such as the right to mother tongue education. Shaming and claiming is a social movement tactic that binds historic violence to contemporary citizenship. Combining theory with empirics, the book accounts for how democratization shapes citizen experiences of interest representation and how memorialization processes challenge state regimes of forgetting at local, state, and international levels. Democratization and Memories of Violence draws on six case studies in Mexico, Turkey, and El Salvador to show how memory-based narratives serve as emotionally salient leverage for marginalized communities to facilitate state consideration of minority rights agendas. This book will be of interest to postgraduates and researchers in comparative politics, development studies, sociology, international studies, peace and conflict studies and area studies.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.966 | 0.977 |
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; both teacher heads agree on what is shown here.
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".