Impact of Social Unrest and the Pandemic on Family Micro-Entrepreneurship Success in Chile
Bibliographic record
Abstract
Entrepreneurship is transcendental to the economy and contributes to economic growth.In this context, law 19.749 was established in Chile to facilitate the creation of family microenterprises (FME).However, the social upheaval that occurred in Chile and subsequently the COVID-19 pandemic has had negative repercussions on the country's economy.The present study has the objective of studying the variables that influence the success of family microenterprises.A survey was conducted among micro-entrepreneurs who are beneficiaries of the FME program in the southern sector of the Metropolitan Region.A Probit model was estimated, based on socio-economic information, coming from seventy beneficiaries of entrepreneurial initiatives of a south sector community of the capital, representing 40% of the total.The results show that, in the face of social upheaval, the female gender has a positive correlation, while the number of children has a negative effect.In response to the pandemic, female gender correlates positively, whereas Chilean nationality, number of children, and productive and service sectors are negatively related.Finally, in the context of both events, the number of children and the service sector has a negative influence.The results allow us to predict the relative success of the family enterprises ahead of the arrival of eventual exogenous shock.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".