Étude comparée de quatre logiciels de gestion de références bibliographiques libres ou gratuits
Bibliographic record
Abstract
Cet article résulte d’une réflexion sur les outils de gestion de références bibliographiques, particulièrement ceux proposés sous une forme libre ou gratuite. Depuis 2007, l’interaction des outils de rédaction avec les éditeurs bibliographiques évolue rapidement, mais par le passé, les logiciels libres ont pu souffrir de la comparaison en termes d’ergonomie ou d’usage avec l’offre propriétaire. Ce panorama fonctionnel, et technique approfondi des solutions libres ou gratuites actuelles résulte de la comparaison des logiciels JabRef, Mendeley Desktop, BibDesk et Zotero menée en janvier 2012 par deux enseignants chercheurs au sein de l’Institut national français des techniques de la documentation (INTD).
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.028 | 0.041 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".