Analysing sustainability based relationship between debt and growth inSouth-Asian economies and their impact on textile industry: a case fordeveloping economies
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 research aims to quantify the linear and non-linear relationship between debt and economic growth in selected developing economies. Based on theoretical arguments and annual data considerations in modelling the debt and growth as a complex relationship across countries, our panel methodology is based on the fixed effect technique. Our core finding indicates that government debt lowers the GDP in selected developing economies. We also find that the urban population is a key factor that improves economic growth. Moreover, government expenditures on health and industrialization are helpful to enhance the growth of the economies. Our study also suggests increased exports, industrial development, and investment in education for growth. We also propose certain supporting strategies to reduce the adverse effects of debt-growth relation in the considered economies. Given developing economies’ status, the prerequisite for broad, dynamic and rule-based debt policy is of paramount importance, ensuring the factual choices among numerous possibilities, addressing financial constraints and ensuring intergenerational welfare impact.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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