Impacto económico-financiero de la contribución pagada por la concentración de mercado creada por la Ley Orgánica de Telecomunicaciones en la empresa Directv Ecuador C. Ltda en el año 2016.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this work was discussed the economic 0061nd financial impact of the contribution paid by market concentration created by “Ley Orgánica de Telecomunicaciones” in the company in 2016, for this research information has been obtained until the third quarter of 2017. \nThe purpose of this work is to know the effects and consequences that were generated for Directv Ecuador because it is the only corporation that had to pay this contribution within the companies of television by subscription or paid television. In order to achieve this purpose was made an analysis about the internal treatment payment of the contribution for market share during the years 2015, 2016 and 2017. \nTherefore, information was taken from primary sources; such as “Reglamento a la Ley Orgánica de Telecomunicaciones”, “Reglamento Pago por Concentración de Mercado para Promover la Competencia” and documents of the company. In addition, secondary sources in order to obtain clear, accurate and truthful information. \nAs a result, it was concluded that in 2016 the payment of the contribution by market share was assumed totally by the Directv, so this payment was considered an representative amount for it..
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| 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 it