Bibliographic record
Abstract
The war in Ukraine is violently destroying the social, political, cultural and economic fabrics of society and questions regarding the resilience of ethnicity and pluralism is becoming increasingly relevant. The existing research frameworks on pluralism consider pluralism as an integrative concept based on the different social practices and governance institutions for diversity and the realization of the maximum potential of all individuals in society (S. Wolff). In order to deeply understand the issue, we structured our research around next questions: how social practices of pluralism are affected by war? In which way do the country’s governmental institutions, facing military aggression, respond to pluralistic values? And, finally, how Ukrainian war-triggered migration transfer existing practices of pluralism but also adopted practices in new locations? Relying on the present scholarship of pluralism during the crises, adapting data of national surveys and incorporating the most recent data from the agencies, tracing the democratic development and pluralism, this research aims to trace national institutions and transnational networks of pluralistic practices during the war.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".