Should I stay or should I go? Negotiating township tours in post-apartheid South Africa
Bibliographic record
Abstract
This article focuses on township tours outside Cape Town and Johannesburg during the past decade. By examining the subjectivities of guides and tourists, as well as public discourses about townships, I argue that township tours are ethically problematic and ambiguous, but do not go uncontested. Questions about voyeurism and development are negotiated during the tours in a number of ways. First, the morality of witnessing townships – not through the modality of vision, but through participating in contact zones – is asserted. Second, public discourses that valourize the creativity of the poor, and which harness history as a force for reconciliation and development, inform the tours. Third, tour guides attempt to reform charity and to highlight ethical consumption. An ethnographic and discursive analysis leads me to conclude that township tours are part of a larger post-apartheid project of re-imagining and remaking marginalized urban spaces.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".