Uzbekistan – A Region of World Society? Variants of Differentiation in Agricultural Resources Governance
Bibliographic record
Abstract
Abstract This article studies the layered coexistence and mutual shaping of three forms of differentiation (functional, segmentary, hierarchical) in rural Uzbekistan, a region of world society that, since 1991, is undergoing tremendous processes of socio-economic transformation and change. More precisely, we analyse the evolving governance of land, water and agricultural support services (knowledge & advice) in the Uzbek province of Khorezm, where currently three types of farms utilise various social practices to navigate a complex and partly opaque environment marked by various forms of differentiation, each posing different opportunities, threats and coordination mechanisms (institutions). In doing so, the article builds on Rudolf Stichweh’s considerations of world society’s structural patterns, its ‘Eigenstructures’ as well as Niklas Luhmann’s conceptualisation of world society’s autopoietically closed function systems. Based on ethnographic research, we argue that the mobilisation of patron-client relationships, a complex system of coercive reciprocity and a trilogy of formal, strategic and discursive practices are widely employed to cope with the coexistence of an undermined layer of functional differentiation and reaffirmed/reinvented segmentary and hierarchical identities. We argue that the skilful navigation by local actors between these different differentiation forms and their demands, embodies a short-term adaptation strategy that is likely to hamper a (re-)crystallisation of autonomous functional domains. Hampering functional differentiation jeopardises long-term change adaptation.
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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 | 0.000 | 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".