Theatre for Development in the slums of Cairo: The impact on a disempowered community
Bibliographic record
Abstract
Abstract In Mansheyet Nasser, one of the world’s biggest slums located on the outskirts of Cairo, a modest theatre project formed to engage children and youth of the garbagepicking trade, El-Zabaleen, in a process of celebrating their livelihood. The theatre work was able to challenge the stigma associated with being a Zabaleen, and fostered a renewed sense of self-worth in the young participants. When the project was discontinued in vague circumstances, the author set out to better understand the ethical implications of working with impoverished and marginalized communities. This article describes the history of El-Zabaleen and of Theatre for Development in the slums of Cairo, as well as the context and process of the theatre work. It points to some measures that might be taken in order for funding bodies, facilitators and participants to fully appreciate the impact of this work on a community’s hope for sustainability, self-development and social change.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.028 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.020 | 0.001 |
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".