Reproducing National Distinction: How Cultural Capital Shapes Estonia's Russian School Field
Bibliographic record
Abstract
ABSTRACT Research on nationalism has long emphasized the homogenizing role of education in producing shared language, history and identity, while studies in the sociology of education have examined how cultural capital and social class structure school hierarchies. Yet these literatures rarely intersect: The former seldom investigates differentiation within education systems, and the latter rarely considers how school legitimacy itself is grounded in nationally specific cultural norms. This article brings them together by theorizing national cultural capital—the capacity of institutions to embody the dominant national culture—as a structuring force in educational fields. Using the historically bifurcated Estonian system, where Russian and Estonian schools evolved in parallel, it examines 2015–2022 school‐level exam data, original coding of Estonian‐oriented practices and neighbourhood socio‐economic indicators. Structural equation models reveal that Estonian cultural capital is positively associated with academic performance but most strongly in low‐status neighbourhoods. These findings show how nationalizing states embed cultural legitimacy into institutional competition, producing hierarchies that fuse class and nationally specific cultural capital.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| 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".