Politica - revue interdisciplinaire en ligne pour une nouvelle civilisation politique humaniste. Raisons de l'initiative éditoriale
Bibliographic record
Abstract
Aparición de una nueva revista on line titulada Politica, en iniciativa italiana de Michele Rosboch, profesor de Historia del derecho italiano y europeo de la Universidad de Turín, y de Lorenzo Scillitani, catedrático de Filosofía del Derecho de la Universidad del Molise. Forman parte del consejo científico internacional de la revista por orden alfabético: Salvatore Abbruzzese (Universidad de Trento. Italia), Walter Crivellin (Universidad de Turín. Italia), Xavier Dijon (Universidad de Namur. Bélgica), Aldo Ferrari (Universidad Ca’ Foscari de Venecia. Italia), Fabio Ferrucci (Universidad del Molise. Italia), Roberto Frega (Centre Nationale de la Recherche Scientifique, París. Francia), Eric Gasparini (Universidad de Aix-Marsella III. Francia), Enrico Genta (Universidad de Turín. Italia), Eric Gojosso (Universidad de Poitiers. Francia), Bjarne Melkevik (Universidad Laval. Canadá), Marc Ortolani (Universidad de Niza Sophia Antipolis. Francia), Manuel J. Peláez (Universidad de Málaga. España), Vittorio Possenti (Universidad Ca’ Foscari de Venecia. Italia) y Patrick Watier (Universidad de Estrasburgo. Francia). Es una revista de espectro europeo, no americano, ni latinoamericano. Se trata de reflexionar sobre una nueva civilización política humanista, en la que se defiende la justicia de las leyes, la coexistencia social y el ejercicio de la libertad personal
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.016 | 0.006 |
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".