All jointly or everyone on its own? On fissions and fusions of ethnic minority parties
Bibliographic record
Abstract
In this volume, the authors, from European, Canadian and American universities, focus on a very topical issue, the relations between nation states and national minorities which emerged in the 20th and 21st centuries. Dealing with various original case studies, such as Belarus, Poland, Moldova, Israel, or Malaysia, these relationships are studied from the perspective of the authorities of the new nation states and from the perspective of the minorities. The theoretical approach is inspired by Rogers Brubaker's work on 'nationalising states' (Ethnic and Racial Studies, 2011) and this leading author in the field provides a new discussion on the concept. The authors pay particular attention to the historical contexts in which the dynamics between nation-states and minorities developed and provide an innovative way of thinking about nationalism today.Given its position at the crossroad of different fields and broad geographical spectrum this book is relevant to a wide audience of scholars in the fields of nationalism, minority studies, citizenship studies, and multiculturalism.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".