The Interaction Model of Digitalization and Financial Inclusion: A Bayesian Analysis of Its Role in Economic Growth
Why this work is in the frame
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Bibliographic record
Abstract
This study aims to analyze the impact of digitalization and financial inclusion on economic growth in the ASEAN-6 countries, with a particular highlight on the interaction between these two factors. This research topic is compelling, as most previous studies have examined the individual effect of either digitalization or financial inclusion on economic growth, lacking empirical evidence on their interactive impact. The author utilizes a Bayesian approach to estimate the research model, providing a clearer understanding of the extent and probability of each variable's effect. The findings reveal that economic growth in the ASEAN-6 countries is positively influenced not only by digitalization and financial inclusion individually but also by their significant interaction. Additionally, economic growth is notably affected by population growth and inflation. These findings offer a reliable foundation for the ASEAN-6 countries to identify appropriate policies that foster digitalization coupled with financial inclusion, thereby promoting economic growth.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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