Capitalism and nationalism in the <i>longue durée</i> : Hegemony, crisis, and state-seeking nationalist mobilization, 1492–2013
Bibliographic record
Abstract
This article analyzes the historical dynamics of state-seeking nationalism from 1492 to 2013. By synthesizing Gramsci’s insights of hegemony with world-systems perspective and historical institutionalism, I introduce a new theoretical frame that gives crisis, uneven development, and the relationship between structure and agency, a central place in conceptualizing nationalist mobilization. I also introduce a new major database, that is, The State-Seeking Nationalist Movements (SSNM) database, which includes two unique datasets for historical analysis of nationalism. The first dataset includes articles reporting on state-seeking nationalist activities throughout the world from 1804 to 2013 using international news reports. The second dataset is compiled from secondary sources and it includes revolutionary situations and conflicts involving state-seeking movements from 1492 to 1829. Combining the two original datasets, the SSNM database is a rich new empirical resource for the sociological study of state-seeking nationalism from a long term and global perspective. Historical patterns and multivariate negative binomial regression analysis suggest that SSNM are more likely to take place during periods of financialization, economic crisis, interstate wars, colonial occupation, and intense social unrest. In addition to these structural factors, the findings also bring attention to the role of agency. Nationalist organizations increase the likelihood of state-seeking nationalism but they cannot produce nationalist mobilization as they please. They do it under structural conditions beyond their control that constrain or ease their mobilization. Although I find strong evidence for historical institutionalism, the theory and findings presented in this article suggest that the accumulation of non-hegemonic state power does not help rulers contain state-seeking nationalism. I find no evidence for primordialism, economic/political modernization theories, or globalization-breeds-nationalism arguments. I conclude by discussing how the new theory and new data introduced in this article advances our understanding of the dynamics of nationalism and global governance patterns in world history.
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 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| 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".