Marketing Interactions in Subsistence Marketplaces: A Bottom-Up Approach to Designing Public Policy
Bibliographic record
Abstract
In many developing countries, buyer–seller exchange among the poor occurs mainly in unique, socially embedded environments that are essentially informal markets. This article describes the findings of an in-depth, in situ study of an informal-economy subsistence marketplace in South India. Through interviews with consumers and owners of survivalist microenterprises, the authors identify seven themes that characterize the subsistence marketplace context, buyer–seller interactions within them, and specific elements of exchange. Drawing on these findings, along with theories of social capital and consumption in poverty, they make the case that business policy in developing countries should aim to empower subsistence entrepreneurs and consumers, embrace emergent solutions, help build bridges between informal and formal economies, and adopt a bottom-up orientation to policy development. The study's findings offer important insights into policy that can help microenterprises of the informal economy become engines of economic growth in these countries.
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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 | 0.016 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".