Estudios empíricos sobre la industria de los ordenadores personales
Bibliographic record
Abstract
Esta tesis consiste en una serie de estudios empíricos sobre la industria de los ordenadores personales basados en datos de 8 países americanos (Argentina, Brasil, Canadá, Chile, Colombia, Estados Unidos, México y Perú) entre 2005 y 2007, y se compone de 3 capítulos. En el primer capítulo se analizan estadísticamente las principales características de esta industria. El segundo capítulo aporta una visión panorámica del escenario competitivo, ofrece una estimación de la demanda y del poder de mercado por grupos de empresa, e interpreta la lógica económica de los cambios observados en Latinoamérica a raíz del proceso de migración hacia la portabilidad. El tercer capítulo representa una contribución a la literatura sobre el análisis retrospectivo de las fusiones. En él se estudia el impacto sobre precios del anuncio y la fusión Acer – Gateway, ocurridos durante 2007 y que permitió a estas firmas convertirse en el tercer proveedor mundial de ordenadores personales.
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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 | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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".