On the Limits of Liberalism in Participatory Environmental Governance: Conflict and Conservation in Ukraine's Danube Delta
Bibliographic record
Abstract
ABSTRACT Participatory management techniques are widely promoted in environmental and protected area governance as a means of preventing and mitigating conflict. The World Bank project that created Ukraine's Danube Biosphere Reserve included such ‘community participation’ components. The Reserve, however, has been involved in conflicts and scandals in which rumour, denunciation and prayer have played a prominent part. The cases described in this article demonstrate that the way conflict is escalated or mitigated differs according to foundational assumptions about what ‘the political’ is and what counts as ‘politics’. The contrasting forms of politics at work in the Danube Delta help to explain why a 2005 World Bank assessment report could only see failure in the Reserve's implementation of participatory management, and why liberal participatory management approaches may founder when introduced in settings where relationships are based on non‐liberal political ontologies. The author argues that environmental management needs to be rethought in ways that take ontological differences seriously rather than assuming the universality of liberal assumptions about the individual, the political and politics.
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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 | 0.024 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.059 |
| Scholarly communication | 0.019 | 0.009 |
| Open science | 0.001 | 0.017 |
| Research integrity | 0.003 | 0.005 |
| 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".