Beyond the Conflict and Weak Civil Society; Stories from Ukraine: Cases of Grassroots Initiatives for Sustainable Development
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 explores the diversity of grassroots initiatives (GIs) for sustainable development that are emerging in post-EuroMaidan Ukraine. It first focuses on an overview of different theories on civil society and trends in Ukrainian civil society development. Eight cases of GIs are selected to represent different pillars of sustainability work done by the initiatives (economic, social, environmental, and political-institutional). These cases question the arguments behind the weak and pseudo-plenipotentiary vision of civil society in Ukraine, and demonstrate mechanisms of sustainable development suggested by analyzed GIs. In general, this study challenges the myth of a weak civil society in Ukraine, opens up a broader discussion on the meaning and role of civil society, and provides new ideas for building a sustainable society.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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 it