Financing Businesses in Africa: The Role of Microfinance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The law of diminishing marginal productivity dictates that scarce resources earn a high return. Why then, does capital not flow to the poor, its most productive users? This has been attributed in part to the failure of credit markets. The argument goes that the poor have so little to offer by way of collateral, and borrow such small amounts, that it is too risky and expensive to lend to them. The ramification is that they get caught in a credit-based poverty trap, wherein they are unable to undertake profitable investments due to credit constraints and hence, remain poor. The great promise of microcredit — making joint-liability loans to small groups of poor people possessing no collateral, enabling them to make productive investments — was to be the magic bullet against poverty. Yet, a mere five years after the Nobel Peace Prize was awarded to Muhammad Yunus and the Grameen Bank, claims about microcredit’s transformative power are being debated.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it