Managing Ambiguous Amphibians: Feral Cows, People, and Place in Ukraineâs Danube Delta
Bibliographic record
Abstract
This paper analyzes how a herd of feral cattle emerged in the core zone of Ukraineâs Danube Biosphere Reserve and why it still exists despite numerous challenges to the legality of its presence there. Answering these questions requires an analytical approach that begins from the premise that animals, plants, substances, documents, and technologies are active participants in making social and political worlds rather than passive objects of human intervention and manipulation. Drawing together insights from multispecies ethnography, animal geography, amphibious anthropology, and studies of nature protection in former Soviet republics, the author argues that the feral cattle exist because they are part of an amphibious multispecies assemblage in which relations among cattle, elements of the deltaâs wetland ecologies, legal norms, and the Reserve managersâ documentation practices have aligned to create an autonomous space for cattle to dwell with minimal human intervention.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".