Una metodología para modelar fenómenos culturales latentes: interés público en la red Razón Pública
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Este artculo ampla el horizonte de anlisis en el campo de las redes culturales, al proponer una metodologa basada en datos para modelar fenmenos culturales latentes. A modo de ilustracin, se aplic el diseo metodolgico en un estudio sobre los temas de inters pblico en la revista Razn Pblica. Primero, se revis el trmino inters pblico y se justic la pertinencia de concebir este tipo de temas como fenmenos culturales latentes en la red de la publicacin. Segundo, se present el periodismo digital en Colombia como el dominio cultural de la red. Para la elaboracin del modelo, se propuso una estrategia para delimitar, obtener y estructurar los nodos de los actores y objetos culturales. Finalmente, se explic el uso de la tcnica Asignacin Latente de Dirichlet (LDA) para modelar los temas de la revista y se valid con una encuesta que conrm los temas de inters pblico, segn algunos actores de la red.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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 it