Obstacles of Financing Small Projects by Jordanian Commercial Banks
Bibliographic record
Abstract
The small projects sector suffers from many constraints, especially in terms of the financial side due to weakness in the finance, the problem of the study occurs based on the presence of obstacles in financing small projects by Jordanian Commercial Banks (Banking Obstacles, Small Projects Obstacles, and Governmental Obstacles). Thus, the study seeks to identify those obstacles, and it founded there is a significant statistical impact of the obstacles (Banking obstacles, Small projects Obstacles, Governmental obstacles) on the financing of small projects by Jordanian commercial banks. Also, there is a good statistical relationship between the obstacles (Banking obstacles, Small projects Obstacles, Governmental obstacles) and the financing of small projects by Jordanian commercial bank. The study recommended that the central bank should make laws that force banks to set aside a portion of the loans portfolio to small projects. Also, there is a need for the government to provide support to small projects, specifically in the training of the human resources and in the making of an economic feasibility study.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".