Bibliographic record
Abstract
El segundo volumen, titulado Educacion Empresarial, esta compuesto por siete articulos: Allan Gibb propone un nuevo modelo educativo que desecha la idea de que existe una solucion “unica” aplicable a todos los grupos; Rodrigo Varela comparte el nuevo modelo educativo que ha implementado el CDEE-Icesi y que le valio la distincion de USASBE “2010 Global Entrepreneurship Education Award”, basado en el desarrollo de las competencias empresariales; Yvon Gasse y Maripier Tremblay presentan los resultados de una investigacion intercultural (Canada, Francia, Argelia, Colombia) que estudia el tema de la Intencion Empresarial en estudiantes universitarios ; Fernando Dolabella y Louis Jacques Filion muestra la excelente conceptualizacion y operacion de la pedagogia empresarial en Brasil; George Solomon hace un profundo analisis de las cercanias, acuerdos y confusiones que se dan entre la educacion para la creacion de nuevas empresas y la educacion para el desarrollo de la Pyme; Jose Romaguera, explica como se puede implementar un proceso que genere estimulos positivos para la creacion de empresa entre la poblacion joven; Alain Fayone y Olivier Toutain ilustran como la educacion empresarial tiene que ser integradora y practica.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.046 | 0.019 |
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".