From Bondage to Citizenship: A Comparison of African American and Indian Lower-Caste Mobilization in Two Regions of Deep Inequality
Bibliographic record
Abstract
Abstract The paper explores mobilization to reduce the deepest inequalities in the two largest democracies, those along caste lines in India and racial lines in the United States. I compare how the groups at the bottom of these ethnic hierarchies—India's former untouchable castes (Dalits) and African Americans—mobilized from the 1940s to the 1970s in pursuit of full citizenship: the franchise, representation, civil rights, and social rights. Experiences in two regions of historically high inequality (the Kaveri and Mississippi Deltas) are compared in their national contexts. Similarities in demographic patterns, group boundaries, socioeconomic relations, regimes, and enfranchisement timing facilitate comparison. Important differences in nationalist and civic discourse, official and popular social classification, and stratification patterns influenced the two groups’ mobilizations, enfranchisement, representation, alliances, and relationships with political parties. The nation was imagined to clearly include Dalits earlier in India than to encompass African Americans in the United States. Race was the primary and bipolar official and popular identity axis in the United States, unlike caste in India. African Americans responded by emphasizing racial discourses while Dalit mobilizations foregrounded more porously bordered community visions. These different circumstances enabled more widespread African American mobilization, but offered Dalits more favorable interethnic alliances, party incorporation, and policy accommodation, particularly in historically highly unequal regions. Therefore, group representation and policy benefits increased sooner and more in India than in the United States, especially in regions of historically high group inequality such as the Kaveri and other major river Deltas relative to the Deep South, including Mississippi.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".