La imagen de Europa en los medios de comunicación del mundo hispanófono y lusófono
Bibliographic record
Abstract
Ce travail a été publié grâce au soutien financier de l’équipe de recherche ERLIS (EA 4254) de l’Université de Caen Normandie. PILAR (Presse, Imprimés, Lecture dans l’Aire Romane) est une association fondée dans le but de développer la recherche et d’assurer un lien entre les chercheurs dans ce domaine. Elle entend se situer dans la continuité de l’équipe de recherche PILAR 2 (Presse Ibérique et Latino-Américaine de Rennes 2), fondée en 1981 à l’initiative de Jacqueline Covo-Maurice et de Jean-François Botrel par un groupe d’hispanistes de l’Université Rennes 2, dont les travaux ont été publiés par les Presses Universitaires de Rennes 2. / Esta obra ha sido publicada gracias al apoyo financiero del equipo de investigación ERLIS (EA 4254) de la Universidad de Caen. PILAR (Presse, Imprimés, Lecture dans l’Aire Romane) es una asociación creada con objeto de desarrollar la investigación y mantener un vínculo entre los investigadores de esta especialidad. Es asimismo continuación de PILAR 2 (Presse Ibérique et Latino-Américaine de Rennes 2), fundada en 1981 a iniciativa de Jacqueline Covo-Maurice y de Jean-François Botrel por un grupo de hispanistas de la Universidad Rennes 2, cuyos trabajos han sido publicados por las Presses Universitaires de Rennes 2.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".