Analysis Grid of Adjustment Strategies of Non-profit Organizations Benefiting From Microcredit to the Constraints of Microfinance Institutions: The Case of Burundi
Why this work is in the frame
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Bibliographic record
Abstract
Based on the work of Henderson and Venkatraman (1993) on strategic alignment, the objective of this article is to explain that the strategic alignment of microcredit beneficiary not for profit Organizations (NPOs) is achieved through their adjustment to the constraints of their lessors. We thus discuss the adaptation of Burundian NPOs benefiting from microcredit by taking into account a specific attribute of a difficult economic environment: the threat of their survival. The physiological needs of their members are at the origin of their reactions of adaptation to the constraints of the lessor. This adaptation enables them to acquire and maintain the resources necessary for their survival. This article explains this adaptation by highlighting the strategic actions of the members of the NPOs who are beneficiaries of microcredit.
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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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.001 | 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 it