Does Financial Development Lead to Employment and Growth?
Bibliographic record
Abstract
Financial systems, which play a major role in the development of the economy, are primarily helping to fund flow and assist in capital increase. In this study, frequency domain causality test, which was developed by Geweke and Hosoya and developed by Breitung and Candelon, was used to analyze the causality relationship by short, medium, and long periods. This test, which provides periodical examination, was investigated to determine the effect of G7 countries on employment and growth of financial institutions and markets index used to calculate financial development index. Among the G7 countries, the development of financial markets and institutions has been affecting employment in Canada (short-medium), Germany (medium-long), Japan (short-medium-long), and the UK (medium-long); in addition, when the effects of economic growth on financial markets and institutions are investigated, Canada (short-medium), France (medium), Italy (medium-long), America (medium-long), Germany (medium-long), Japan (short-medium-long), and UK (short-medium-long) were determined by analysis.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".