Lending Groups and Different Social Capitals in Developed and Developing Countries
Bibliographic record
Abstract
Abstract Lending groups (LGs) and social capital are two central elements to the many microfinance solutions operating around the world. However, LG effectiveness in reducing transaction costs and lending risks for microfinance institutions (MFIs) is mediated by institutional environments. Starting from this assumption, we discuss the existent interactions between the institutional environments of developed (Anglo-Saxon and communitarian) and developing countries with different stocks of social capital (individual, network and institutional) and the influences of this interaction on LG effectiveness. In order to do so, we applied the institutional perspective of O. Williamson to build a theoretical framework to examine the interaction of all these conditions, allowing for analysis of their main relations within the microfinance context. Based on this framework, we propose on the one hand that in developing and Anglo-Saxon developed nations, stocks of both individual and network social capital are the most important for an LG's effectiveness. However, in Anglo-Saxon countries, these two stocks of social capital are complemented by formal contracting devices. In communitarian developed countries, on the other hand, the stocks of institutional social capital have a stronger positive impact on LG dynamics.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".