The Role of products of Microfinance for Reducing the Poverty of the Borrowers: Exploratory Factor Analysis
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
This paper intend to analyses the structural characteristics of microfinance and statistically categorized them in to five products of microfinance as independent variable and poverty reduction as dependent variable. Data were gathered from 494 borrowers of Samurdhi microfinance program in five districts in Sri Lanka using Likert scale questionnaire. The collected data analyzed by Exploratory Factor analysis using SPSS 21 version. The factor Metrix of the EFA results presented good pattern distribution among 38 items which indicated that six constructs loaded properly which is greater than acceptable threshold >0.5. Therefore, the results explored that the 38 items can be grouped properly into the six constructs based on their items.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it