The Study of Self-employment at SMEs Level with Reference to Poverty in Developing Countries
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 study endeavors to answer the research question; how self-employment at Small and Medium Enterprises (SMEs) level is related to poverty in the developing countries. During these efforts, we used the narrative literature review, methodology, to study related research stream in this domain to develop a better understanding of the phenomenon. Moreover, in the process Peter Ducker and Noel’s theory of entrepreneurship and Israel Kirzner’s theory of entrepreneurship reviewed to develop theoretical foundations of our research. In this research, we come to the observation that self-employment at SMEs level, somehow helps in fighting poverty in the developing countries. In addition, interestingly Information and Communication Technology (ICT) role has been significant in the developing countries from the context of gig economy, where the firms might not be found in yellow pages, but yet they are part of the economic system against poverty (Subrahmany, 2005).
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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