Las empresas familiares. Tendencias investigativas
Bibliographic record
Abstract
Esta investigacion se propuso realizar una revision de la literatura existente sobre empresas familiares para poder detectar las tendencias en las investigaciones reportadas al respecto. Para ello se realizo una revision en Scopus para la aparicion del termino “family business” en el titulo de los documentos y se obtuvieron un total de 1163 referencias. El analisis permitio concluir que el mayor por ciento de las investigaciones realzadas se concentro en las disciplina de Negocios, Gestion y Contabilidad y que el pais que mas ha publicado es USA, seguido de Canada, Italia y Espana y que solo dos paises de habla hispana (Espana y Chile) han publicado en el tema. Se determinaron los articulos seminales fundamentales en el tema. El analisis de las publicaciones en idioma espanol permitio determinar cinco enfoques fundamentales en este campo: analisis de los procesos de relevo generacional, evolucion de empresas familiares, estrategias empresariales y resultados economicos, dinamica de las relaciones intrafamiliares y efectos sobre la empresa y como las condiciones del entorno inciden en la permanencia y desarrollo de las empresas familiares.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.013 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".