Commercial Farm Workers and the Politics of (Dis)placement in Zimbabwe: Colonialism, Liberation and Democracy
Bibliographic record
Abstract
The widespread land occupations of 2000 demonstrate the uneasy fit of commercial farm workers within the politics and development of Zimbabwe. Not only have farm workers borne the most violence at the hands of land occupiers, but their current socio‐political situation on predominantly white‐owned commercial farms has either been reduced by a nationalist liberation war binary of exploitation/abuse by racist white settlers or totally elided through human rights and democracy discourses anchored in the liberal subject. Based on periodic fieldwork research with commercial farm workers from 1992 to 2000, this paper analyses how farm workers have been represented by the various public actors during the current land occupations and the complex ways some farm workers have responded to these events. The emphasis is on how political actors need to rethink the situation of commercial farm workers if they are to take an active role in the improvement of their living and working lives.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.014 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".