Oferta desempaquetada y a la carta vs Oferta Empaquetada: balance internacional del mercado de TV Paga y propuestas para el caso peruano
Bibliographic record
Abstract
"El presente documento tiene como objetivo evaluar la posible implementacion de una “oferta a la carta” en el mercado de TV Paga sobre la base de la experiencia internacional, con la finalidad de reducir la brecha entre tarifas formales e informales. Al no observarse que la implementacion de una “oferta a la carta” haya afectado negativamente el desarrollo del mercado de TV Paga en los países en los cuales se llevo a cabo (Uruguay, Chile, Canada e India); y, considerando que, en promedio, el 92% de los usuarios peruanos que accedieron a la TV Paga en 2015 se encontraron pagando por un 77% de contenido que no consumian; estaria surgiendo una oportunidad para que los operadores de TV Paga puedan reducir precios y aumentar la penetracion del servicio a traves de una oferta comercial desempaquetada y “a la carta”."
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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 | 0.006 |
| 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 | 0.005 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".