Bibliographic record
Abstract
During the previous decade (2012–2021), in Ukraine, political pressure from the European Union combined with the efforts of the local civil society resulted in the adoption of legislation to prevent and eliminate discrimination, protect women from domestic violence, and promote LGBT people’s rights. Nevertheless, these changes were met by the opposition from various conservative and religious groups that have, over time, become more sophisticated in their resistance strategies. The present article applies the concept of heteroactivism to examine the role of women within such groups in Ukraine. It argues that Ukrainian heteroactivism is a product of the “clash of values” largely influenced by the geopolitical position of Ukraine and its historical and cultural context. Studying the cases of the Sisterhood of St. Olga, the Association of Sexologists and Sexual Therapists of Ukraine (ASSU), and several prominent scholarly figures, the article identifies the mobilization frames these activists use, specifically, Women as Wives and Mothers, Protection of Family and Minors, and Religion (heteroactivism as martyrdom). This study shows that in attempts to influence national policymaking, Ukrainian women heteroactivists set rigid standards of “proper” Ukrainian femininity and the role of women (that of a mother and wife staying outside of politics) within a “proper” Ukrainian family, which must be heterosexual, Christian, and monogamous.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.022 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".