Comentarios al estudio de la OCDE y al artículo de Hausman y Ros de la falta de competitividad en el sector de telecomunicaciones en México
Bibliographic record
Abstract
Este artículo comenta cada uno de los dos informes de la falta de competitividad en el sector de telecomunicaciones en México: el primero es el de la OCDE que fue encargado por la Comisión Federal de Telecomunicaciones en México, y el segundo es el de Hausman y Ros [publicado en este número de la revista] que fue comisionado por América Móvil para comentar y revisar el primero. Los comentarios se centran en aspectos técnicos de los estudios con propósitos estrictamente académicos. Los dos estudios usan datos agregados, lo que motiva el uso de modelos de oferta y demanda que corresponderían más a un mercado competitivo, no al de competencia monopolística como es el caso de la industria de telecomunicaciones
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".