Does Entrepreneurial Activity Assist in the Alleviation of Poverty?
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
Poverty is a major issue across the world with governments and organizations such as the World Bank and the IMF increasingly looking for ways to reduce its impact. Despite this, almost 2.5 billion people still live in poverty. Entrepreneurial Activity can reduce poverty and can be boosted through the help of Entrepreneurship Facilitators such as Government, Incubators, and Financial Institutions. This study examines the relationship between Entrepreneurial Activity and poverty alleviation using Feasible Generalized Least Square (FGLS). The study found a positive and significant relationship between Entrepreneurial Activity and poverty alleviation as measured by the changes in Human Development Index (HDI) in all 104 countries studied over a 12 year period, and that the presence of good Entrepreneurial Facilitators improves the capacity of Entrepreneurial Activity. It suggests that governments need better business related regulations to motivate entrepreneurs and create ease of doing business.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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