Enterprising Women: A Decade of Learning from Ethiopia’s Women Entrepreneurship Development Project (WEDP)
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
Beginning in 2012, Ethiopia’s first ever women-entrepreneur focused line of credit was established through the Women Entrepreneurship Development Project (WEDP). WEDP provides finance and business training for growth-oriented urban women entrepreneurs in Ethiopia with an aim to boost business earnings and employment. Over the ten years since inception, WEDP has expanded to operate across 18 Ethiopian cities, registering 60,000 women entrepreneurs into the program. As of February 2024, WEDP has provided more than 25,000 loans, and business training to over 30,000 women entrepreneurs. WEDP has also contributed to a wealth of learning and innovation, including research in partnership with the World Bank’s Gender Innovation Lab (GIL), and the Innovations in Financing Women Entrepreneurs (IFWE) project supported by Global Affairs Canada (GAC). In this brief the authors highlight key results from impact evaluations that were embedded into the WEDP operation and provide details of some of the innovations being tested.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| 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