Anticipating The<i>Tsunami</i>: Rumours, Planning and The Arbitrary State in Zimbabwe
Bibliographic record
Abstract
Using ethnographic material alongside newspaper and NGO reports, this article explores popular responses to ZANU PF's devastating Operation Murambatsvina, commonly dubbed Zimbabwe'stsunami, which targeted informal markets and ‘illegal’ housing across Zimbabwe between May and August of 2005, making an estimated 700,000 people homeless and indirectly affecting a quarter of Zimbabwe's population. The article argues that central to experiences of these dramatic events ‘on the ground’ (particularly in Harare's high- and low-density suburbs of Chitungwiza and Hatfield, where most of the ethnographic material was collected) was a profound tension between the resonances evoked by official appeals to a reassertion of ‘order’ and formal planning procedures, and the spectacle of ZANU PF's public demonstration of its ability to deploy state ‘force’ ruthlessly, and indeed ‘arbitrarily’; that is, as, when and how it chose. Although the brutal execution of the programme was widely condemned by observers and victims alike, less reported has been the way in which official justifications for the operation were sometimes recognizable and salient to people living in urban areas across Zimbabwe, resonating with memories of past clearances, or with longstanding and divergent aspirations for respectability, urban ‘order’, and a functioning, bureaucratic state. It is argued that in the ambiguity and uncertainty generated by this tension the political advantages of the operation for the ruling party become most apparent. Relating the plethora of rumours circulating at the time (about the ‘hidden agendas’ behind the operation) to Mbembe's work on post-colonial conviviality, the article argues that like Mbembe's satirical cartoons these rumours did not so much undermine or subvert the authority of ZANU PF as reinforce its omnipotent presence. However, unlike the pessimism of Mbembe's vision of all encompassing power, it is argued that if the rumours that circulated about Operation Murambatsvina are an example of the constant re-making of ‘stateness’ on the margins, then the uncertain ambiguity of such rumours can not only reinforce the omnipotent presence of the ‘state power’, but also illustrate the omnipresence of its fundamental insecurity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.018 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".