Analysis of the Characteristics of Social Enterprises: The Case of Microfinance Institutions and Non-Profit Organizations Benefiting from Microcredit in Burundi
Bibliographic record
Abstract
The crisis that Burundi has experienced since October 1993 has led to the emergence of new associative mechanisms at the initiative of Burundian citizens around the same adventure: that of microcredit. Far from being a fad, microcredit has been the single source of financing for poor citizens by enabling them to engage in income-generating activities. For this, beneficiaries who are for the most part without material guarantee must not only group themselves in associations, but also align themselves with the constraints of the lessor. According to the theory of contingency, any organization can increase its performance to the extent that its strategy is in harmony with its environment. Our analysis considers the issue of strategic alignment from a new angle. We conclude that the adjustment of the NPOs members to the modalities of granting loans enables them to benefit from Microfinance Institutions which help to reach their main objectives and to promote a real organizational efficiency.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".