Estudio sobre la producción científica en gestión estratégica período 1980-2014 - Study on the scientific production in strategic management of the 1980-2014 period
Bibliographic record
Abstract
Cuando una disciplina se consolida por medio de los avances y las investigaciones que de ella se derivan, resulta necesario analizar cuáles han sido los elementos de impacto en la materia, esto a través de un análisis de los trabajos que la comunidad científica del campo genera. En este trabajo se analiza, por medio de los programas de software libre Sitkis, Ucinet y VOSviewer, la información sobre los principales autores, artículos y palabras clave de las doce publicaciones de mayor impacto en Gestión Estratégica (GE), para el período de 1980 a 2014. El propósito de esta investigación es determinar cuáles han sido las principales revistas, autores y temas de la GE en los últimos treinta y cuatro años.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".