Bibliographic record
Abstract
Sens public est, depuis toujours, un chantier. Une dynamique ouverte qui crée des réseaux complexes, disséminés dans le monde entier. À partir de 2015, Sens public s’est engagé dans un processus de refonte de son site web. Ce qui devait être une simple mise à jour, un petit « lifting », s’est transformé en une remise à plat de l’ensemble de notre modèle éditorial, alimentant une réflexion technique et théorique majeure sur l’édition numérique et le rôle d’une revue savante aujourd’hui. Pour fêter la sortie de la version 0 de cette plateforme, nous avons demandé aux personnes ayant participé aux activités de la revue dans les dernières années de collaborer à un texte commun, car justement c’est ce partage qui représente le mieux notre projet. Chacun a écrit en quelques lignes ce que Sens public représente pour elle ou pour lui et a suggéré un article à relire.
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.
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 | 0.012 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.014 | 0.016 |
| Scholarly communication | 0.024 | 0.029 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.069 | 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".