Volunteers in Ukraine: From provision of services to state- and nation-building
Bibliographic record
Abstract
This article discusses the volunteer movement in Ukraine. After the 2013–2014 Revolution of Dignity and the subsequent military confrontation with Russia, the volunteer movement became an influential and trusted actor capable of mobilizing a large number of supporters and a significant amount of resources. Donations made to volunteer initiatives represent in Ukraine a percentage of the country's GDP similar to that seen in some Western countries. However, compared with volunteerism in developed countries, volunteer initiatives in Ukraine have several distinct features: a mostly informal character; their reliance on a hard core of committed and active leaders; and connections with the nationalist movement understood here as an actor aiming to attain and maintain the identity of the Ukrainian nation-state in the making. The article explores the intersection between warfare, nation-building, state-building and democratization using Ukraine as a case in point. Data from two sources inform the analysis: a series of in-depth qualitative interviews with leaders of the volunteer movement (N = 22) and results of a survey conducted on a representative sample (N = 2040).
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".