Quelles redistributions de pouvoirs autour des « automates sémantiques » ?
Bibliographic record
Abstract
L’évolution actuelle du Web s’engage vers une complexité de développement indéterminée. Complexité qui tient à sa socialisation croissante ainsi qu’à l’essor des mobiles et le déploiement des réseaux sociaux. Cette complexité s’exprime à travers le Web sémantique, ou Web de données. D’un point de vue technique avec l’expression RDF des données et OWL des ontologies, et la constitution de « silos de données » plus en plus sophistiqués. Les politiques d’ouverture des données publiques, ou de pression sur la transparence des données personnelles sont en pleine transformation.Les évolutions les plus fortes sont à chercher du côté de la crise de la fiction portée par ces médias de communication et de représentation.Les sciences humaines et sociales devraient bousculer les cloisonnements disciplinaires, mais aussi accompagner de nouvelles formes d’expérimentation sociales, territoriales, éducatives ou cognitives.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.011 | 0.026 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.008 |
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".