Rehime. Cuadernos de la Red de Historia de los Medios, Año 1 no. 1
Bibliographic record
Abstract
Indice: Encuesta | Historia de los medios en América Latina: Héctor Schmucler; Eduardo Romano; Omar Rincón; Andrea Matallana; Mónica Maronna; Micael Herschmann; Celia del Palacio; Esther Hamburger; Gilberto Eduardo Gutiérrez; Claudia Irene García Rubio; Luiz Artur Ferraretto; Luis César Díaz; Marialva Carlos Barbosa; Patricio Bernedo Pinto; Marco Antonio Villarruel. Dossier | Jorge B. Rivera; Presentación; Eduardo Romano, El salto inicial de Jorge B. Rivera; Jorge Lafforgue, Un kantiano rioplatense; Pablo Alabarces, Rivera, o la arqueología; Alejandra Laera, Por una historia menor de la literatura; Mirta Varela, Fundaciones y márgenes de la cultura; Ana Lia Rey, Las revistas en la historia (social) de Jorge B. Rivera; Laura Vazquez, Entre el margen, lo popular y la cultura. Las lecturas de Jorge Rivera sobre la historieta; Listado de obras (con la colaboración de Judith Gociol). Diálogo | Televisión: 60 años de historia sin archivos: Mateo Gómez Ortega, coordinador del Área de Tecnología y Sistemas de RTA, Javier Trímboli, asesor histórico de la TV Pública, Fernanda Ruiz, Maximiliano Tocco, Maida Diyarián y María Victoria Ojeda, integrantes del Área de Tecnología y Sistemas de RTA , y Mirta Varela, Ana Lía Rey, Fernando Ramírez Llorens, Máximo Eseverri, Florencia Luchetti y Paola Margulis, integrantes de ReHiMe.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.039 | 0.014 |
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".