Impacto de la Responsabilidad Social y el Capital Intelectual en la Competitividad de las PYMES Manufactureras de Aguascalientes
Bibliographic record
Abstract
El presente estudio empírico de tipo explicativo tiene como objetivo identificar el impacto de las variables responsabilidad social y capital intelectual en la competitividad de las pequeñas y medianas empresas (PYMES) manufactureras de Aguascalientes. El instrumento utilizado fue un cuestionario, el cual se sometió a una prueba de fiabilidad estadística y se obtuvo un .962 en el coeficiente Alpha de Cronbach, que al ser aplicado a los gerentes de 150 PYMES manufactureras los resultados obtenidos, a través del análisis de regresión lineal múltiple bajo el método de pasos sucesivos, permiten inferir que tanto la variable responsabilidad social como el capital intelectual influyen de manera positiva en la competitividad de las PYMES manufactureras de Aguascalientes a un nivel de significancia de 0.001 y juntas explican la competitividad en 57.8 por ciento.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".