Mexican Migrant Entrepreneurial Readiness in Rural Areas of the United States
Bibliographic record
Abstract
A significant literature on minority entrepreneurship exists, but comparable literature on Latin American migrants and their role in local community enterprise development is very sparse. This paper is an extension of earlier work focusing on characteristics of recent Mexican migrants to rural and urban areas. Measures of entrepreneurial readiness are examined along with measures of human, social and migration capital. Migrants with previous experience in owning a business provide rural communities with an unrealized pool of talent and experience. This research demonstrates that business owners who migrate are likely to be married, have non-agricultural work experience and other household assets in the form of land and/or properties, and are more likely to be legally documented arrivals. Additionally, these migrants express additional risk-taking behavior, because they are more likely—along with their siblings—to be family pioneers in migrating, but still attached to migration networks through their community or other close, non-parental relatives. These characteristics illustrate entrepreneurial capacity within these migrant communities in rural areas. Keywords: Entrepreneurship, rural communities, migration, general estimating equations
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".