Reseña del libro A Transnational History of the Internet in Central America, 1985–2000: Networks, Integration and Development / Book Review A Transnational History of the Internet in Central America, 1985–2000: Networks, Integration and Development
Bibliographic record
Abstract
“In an era in which the need to protect borders has often been defended, remembering a historical moment that sought to overcome them is also, in essence, a political act in itself” (Siles, 2020: 10). Ignacio Siles, catedrático en la Escuela de Ciencias de la Comunicación de la Universidad de Costa Rica (UCR), nos presenta un acto político hecho libro que contextualiza lo que ocurría en Centroamérica durante los años en que se fue facilitando la conexión a internet en la región. Siles es doctor en Medios, Tecnología y Sociedad por la Universidad de Northwestern, tras una maestría en Comunicación por la Universidad de Montreal, y una licenciatura en Ciencias de la Comunicación por la Universidad de Costa Rica, donde actualmente es profesor.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".