Los medios sociales en la comunicación científica
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
La conversación se ha trasladado a los medios sociales, también en el ámbito de la comunicación científica. En los últimos años, se viene analizando cómo los investigadores utilizan los medios sociales y cómo difunden los resultados de investigación y se han introducido las métricas alternativas, que más bien parecen complementarias. Un estudio del Canada Research Chair on the Transformations of Scholarly Communication, de la Université de Montreal, comisionado por el Social Sciences and Humanities Research Council (SSHRC), aporta un amplio estado de la cuestión sobre el tema que resulta muy útil para conocer los diferentes puntos de vista abordados en la bibliografía. Además, este trabajo incluye un análisis del uso de Twitter por parte de los receptores de los premios doctorales del SSHRC.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it