LA CONTRIBUCIÓN DEL PENSAMIENTO DE ROBERT LOGAN AL DESARROLLO DE LA ECOLOGÍA DE LOS MEDIOS
Bibliographic record
Abstract
"En agosto de 2013, Robert K. Logan, doctor en física y destacado miembro de la segunda generación de la “Escuela de Toronto” – que recupera el pensamiento de Herbert Marshall McLuhan (1911-1980)-, dictó un seminario sobre nuevos medios y comunicaciones digitales en el Tecnológico de Monterrey, campus Estado de México. Logan ha realizado relevantes aportaciones al desarrollo teórico y conceptual de la Media Ecology – en castellano, Ecología de los Medios -. En esta oportunidad centraré mi atención en tres aspectos que estimo particularmente relevantes en el trabajo que ha venido desarrollando el profesor Logan durante los años recientes: 1.- la incorporación de dos edades mediáticas a las edades mediáticas que había identificado McLuhan; 2.- el empleo de la Tétrada de McLuhan para la comprensión de los nuevos medios digitales; 3.-los argumentos empleados para refutar a quienes consid eran a McLuhan como un pensador “tecno optimista”."
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 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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".