Lending Policies and Credit Administration in Pre-colonial Nigeria: A Case Study of Kundila of Kano
Bibliographic record
Abstract
This Paper studies the canons of lending and credit administration methods in the pre-colonial informal financial sector taking a case study of Kundila a famous 19th Century trader in Kano City. Using desk research and interview techniques, the study finds similarities in both the lending principles and credit management styles in the pre-colonial informal setting and the modern financial institution’s practices. However, Islamic legal system in the 19th Century has helped to quicken administration of justice on cases of loan default as against secular laws that tend to cause delay in modern Nigeria. There was also intensive monitoring of loan and cases of auction of collateral or other severe measures against loan defaulters. The paper concludes that modern financial sector can learn from the leasing methods of Kundila so as to accord small and medium scale enterprises the opportunity of acquiring sophisticated machineries and equipment. This will increase aggregate production and assist government in achieving food security as well as rapid economic growth and development in the economy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".