Bibliographic record
Abstract
De l’école primaire à l’université, Wikipédia est désormais un acteur incontournable de l’univers des connaissances. Mais pour s’en emparer, il faut préalablement comprendre cet outil d’un abord complexe et pourtant moins révolutionnaire qu’il n’y parait. À l’occasion des 20 ans de Wikipédia, chercheurs et enseignants ont réuni leurs contributions dans ce second volume qui fait suite à Wikipédia, objet scientifique non identifié, publié en 2015. Cet ouvrage a pour vocation de constituer un guide à destination des enseignants, des chercheurs et des professionnels souhaitant mener à bien des initiatives autour de l’encyclopédie libre : recherches, projets collaboratifs, projets culturels, etc., ou désirant simplement contribuer eux-mêmes à Wikipédia et aux autres projets de l’univers Wikimédia pour participer à leur amélioration.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.374 | 0.216 |
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".