Conditional Belonging: Farm Workers and the Cultural Politics of Recognition in Zimbabwe
Bibliographic record
Abstract
ABSTRACT This article examines Zimbabwean land politics and the study of rural interventions, including agrarian reform, more broadly, using the analytical framework of territorialized ‘modes of belonging’ and their ‘cultural politics of recognition’. Modes of belonging are the routinized discourses, social practices and institutional arrangements through which people make claims for resources and rights, the ways through which they become ‘incorporated’ in particular places. In these spatialized forms of power and authority, particular cultural politics of recognition operate; these are the cultural styles of interaction that become privileged as proper forms of decorum and morality informing dependencies and interdependencies. The author traces a hegemonic mode of belonging identified as ‘domestic government’, put in place on European farms in Zimbabwe's colonial period, and shows how it was shaped by particular political and economic conjunctures in the first twenty years of Independence after 1980. Domestic government provided a conditional belonging for farm workers in terms of claims to limited resources on commercial farms while positioning them in a way that made them marginal citizens in the nation at large. This is the context for the behaviour of land‐giving authorities which have actively discriminated against farm workers during the politicized and violent land redistribution processes that began in 2000. Most former farm workers are now seeking other forms of dependencies, typically more precarious and generating fewer resources and services than they had accessed on commercial farms, with their own particular cultural politics of recognition, often tied to demonstrating support to the ruling political party.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.017 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".