Banking sector stability, efficiency, and outreach in Kenya
Bibliographic record
Abstract
Although Kenya's financial system is by far the largest and most developed in East Africa and its stability has improved significantly over the past years, many challenges remain. This paper assesses the stability, efficiency, and outreach of Kenya's banking system, usingaggregate, bank-level, and survey data. Banks'asset quality and liquidity positions have improved, making the system more resistant to shocks, and interest rate spreads have declined, in part due to reduction in the overhead costs of foreign banks. Outreach remains limited, but has improved in recent years, driven by mobile payments services in the domestic remittance market. Fostering a level regulatory playing field for all deposit-taking institutions is a key remaining challenge. Specifically, an effective but not overly burdensome framework for regulation and supervision of microfinance institutions and cooperatives is a priority. Maintaining an openness to new, and non-bank, providers of financial services, which has enabled the success of mobile payments, could also further outreach.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".