What Is a Sustainable Innovation? Cultural and Contextual Discoveries in the Social Ecology of Cooking in an African Slum
Bibliographic record
Abstract
This paper investigates how a close understanding of human activity can inform the design of culturally and contextually sustainable innovations for subsistence markets. Building on existing literature related to poverty alleviation initiatives and an ethnographic field study, this project attempted to understand the cultural and contextual challenges to the substitution of unhealthy and unsustainable biomass as cooking fuels by cleaner and competitive cooking alternatives in Kitintale, an urban slum in Kampala, Uganda. We share new research findings and experience from a recent ethnographic study that reveals the incompatibility of modern innovation theory with the realities of the deeply knitted everyday practices in the social ecology of slum life. As the findings of this project suggest, broad claims that disruptive innovation can shift existing practices, change demand and displace market leaders through the creation of new value networks might not fully apply in a context where the existence of cultural patterns have shaped the evolution of indigenous solutions over generations, and reactivity to daily circumstances is high.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".