Financial Resilience on MSME owners in Mexico. A study in the context of economic crisis
Bibliographic record
Abstract
La resiliencia financiera es una facultad que mejora las capacidades de las empresas para identificar problemas financieros, resistirlos, afrontarlos y recuperarse rápidamente ante una situación de crisis económica, como la generada por el COVID-19.El objetivo del presente artículo es determinar los efectos de la resiliencia financiera sobre el bienestar económico de la MiPyMe en Baja California, México.Se estima un índice de bienestar económico con base en la metodología de OECD/INFE (2020) y un modelo econométrico con información de 465 empresarios para probar que la resiliencia financiera atenuó los choques económicos en las MiPyMe durante el periodo reciente de crisis económica.Los resultados sugieren que, si bien el déficit económico afectó negativamente al bienestar económico de la MiPyMe, la mayoría de empresarios prefirieron ser prudentes, soportando déficits y evitar nuevos instrumentos financieros.Se evidenció que los empresarios de MiPyMe buscaron a través de la prudencia financiera restablecer y mejorar su bienestar económico.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".