La Relación entre El Derecho de la Competencia y el Arbitraje en Ecuador
Bibliographic record
Abstract
SUMARIO: 1. Introducción.2. Arbitrabilidad y Derecho de la Competencia.2.1 La jurisprudencia norteamericana sobre arbitraje y derecho de la competencia.2.2 La jurisprudencia europea sobre arbitraje y derecho de la competencia.2.3 El caso ecuatoriano a la luz de la jurisprudencia internacional.3. Arbitraje y competencia: puntos prácticos para un sistema en construcción.3.1 El arbitraje como mecanismo para la determinación de daños producto de una conducta sancionada por la LORCPM.3.2 Arbitraje sobre conductas de competencia desleal previstas en la LORCPM.4. Cláusulas arbitrales contrarias a la legislación de competencia.5. El arbitraje como parte de un compromiso para la aprobación de operación de concentración sujeta a condición.6. Exclusión de controversias sobre derecho de competencia en convenios arbitrales con el Estado: la normativa de competencia como "pretexto" en el Art.34 de la Ley de Telecomunicaciones.7. Conclusiones.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".