Factors affecting ethical sources of external debt financing for Indian agribusiness firms
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
Majority of the Indian farmers are financially constrained and pay very high interest rate to private moneylenders who has a negative impact on the survivability and growth of agribusiness firms. Because of less strict debt financing requirements farmers become prey to predatory lenders from private lending institutions that are not controlled by the central bank and may not behave in an ethical way. The study investigates factors affecting ethical sources of external debt financing by taking a sample of Indian agribusiness firms. Owners of agribusiness firms were interviewed through personal visits and telephone calls regarding the factors affecting ethical sources of external debt financing. The findings show that several factors affect ethical sources of external debt financing for agribusiness firms in India. This study contributes to the literature on the factors that affect ethical sources of external debt financing. This study also provides recommendations to improve access to ethical sources of external debt financing. The findings may be useful for agribusiness owners (farmers), financial managers, investors, agribusiness management consultants, entrepreneurs, and other stakeholders.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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