Marginal Stories? The Perspectives on Citizenship of Multiple Citizens and Multicultural Persons of Estonia
Bibliographic record
Abstract
This article focuses on practices of citizenship in Estonia by persons with multiple citizenship or multicultural background. In the previous stages of research on this topic primary attention was paid to national citizenship, multiple citizenship and European Union citizenship as institutions, as well as the role of citizenship in the construction of European space. Expected "configurations" of multiple citizenship as articulated in Marshallian (1992) terms, as well as linkages between different spaces of membership (national and not-national) of citizenship as perceived by the national decision makers, mapped both avenues and bottleneck s for the future. Our research raises questions and problems related to citizenship as both an essential tool of nation building and of EU integration (cf. Ruutsoo and Kal ev 2006, Ruutsoo and Kalev forthcoming). Full text available: https://doi.org/10.22215/rera.v3i1.181
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.023 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| 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".