La Contribución Del Pensamiento De Robert Logan Al Desarrollo De La Ecología De Los Medios |Contribution Thought of Robert Logan To The Development of Media Ecology
Bibliographic record
Abstract
En agosto de 2013, Robert K. Logan, doctor en fisica y destacado miembro de la segunda generacion de la “Escuela de Toronto” –que recupera el pensamiento de Herbert Marshall McLuhan (1911-1980)-, dicto un seminario sobre nuevos medios y comunicaciones digitales en el Tecnologico de Monterrey, campus Estado de Mexico. Logan ha realizado relevantes aportaciones al desarrollo teorico y conceptual de la Media Ecology –en castellano, Ecologia de los Medios-. En esta oportunidad centrare mi atencion en tres aspectos que estimo particularmente relevantes en el trabajo que ha venido desarrollando el profesor Logan durante los anos recientes: 1.- la incorporacion de dos edades mediaticas a las edades mediaticas que habia identificado McLuhan; 2.- el empleo de la Tetrada de McLuhan para la comprension de los nuevos medios digitales; 3.-los argumentos empleados para refutar a quienes consideran a McLuhan como un pensador “tecno optimista”.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.025 |
| Scholarly communication | 0.015 | 0.014 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 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".