Jurisprudencia y laudos arbitrales sobre competencia desleal en la relación contractual
Bibliographic record
Abstract
Este artículo analiza la legislación, la jurisprudencia de la Corte Suprema de Justicia y la doctrina expuesta en laudos arbitrales, para demostrar que en Colombia la competencia desleal no puede ser definida como responsabilidad civil extracontractual. De las cuatro áreas del derecho que han abordado la competencia desleal, tres de ellas se basan en legislación positiva y ninguna excluye su aplicación a la relación contractual. Las sentencias de casación proferidas bajo el Código de Comercio y la Ley 256 resaltan el carácter preventivo de este régimen, que no requiere daño para ser aplicado. Los laudos arbitrales demuestran que sí es posible arbitrar conflictos de competencia desleal en relaciones contractuales, con base en una cláusula compromisoria.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.021 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".