Terrorists or national heroes? Politics and perceptions of the OUN and the UPA in Ukraine
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study analyzes controversies and public attitudes concerning the Bandera faction of the Organization of Ukrainian Nationalists (OUN-B), the Ukrainian Insurgent Army (UPA) and Stepan Bandera in Ukraine. The research question is: Which factors affect attitudes toward the OUN-B, the UPA and Bandera in contemporary Ukraine? This article employs comparative and regression analyses of surveys commissioned by the author and conducted by the Kyiv International Institute of Sociology (KIIS) in 2009 and 2013 to determine the effects of regional and other factors on attitudes toward these organizations and the OUN-B leader. The study shows that regional factors and perceptions of these organizations’ involvement in mass murder were the strongest predictors of the views concerning the OUN-B, the UPA and Bandera. Their public support is strongest in Galicia and weakest in the East and the South, in particular, in Donbas and Crimea, two major conflict areas since the “Euromaidan.”
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.
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 | 0.000 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 it