Community Relations Work with Young People in Vukovar, Croatia: An Exploratory Study in Coexistence Building
Bibliographic record
Abstract
This article discusses the role of non-governmental organizations in promoting peace education, coexistence, reconciliation and dialogue among young people in Vukovar, Croatia. We argue that reconciliation cannot be imposed from above, but must be built, nurtured and sustained from the bottom-up. Much of this work of dialogue building is carried out at the community level by grassroots organizations. We describe the types of civic organizations, the peacebuilding approaches used, as well as the sustainability, strengths, weaknesses, opportunities and barriers for youth participation in these organizations. A number of in-depth interviews were conducted with representatives of civic organizations in Vukovar. Moreover, the methodology involved an analysis of programs and activities promoted by the community organizations. Findings illustrate that different strategies and activities are used by community organizations, which involve a relatively small number of participants and which do not have a developmental plan to follow young people after the termination of a project.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.023 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 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".