Bibliographic record
Abstract
Le dernier ouvrage de Dominique Cardon presente la version redigee du cours en Culture numerique que le sociologue assure depuis plusieurs annees aupres du college universitaire de SciencesPo. Dans ces pages, on peut reconnaitre la demarche theorique du chercheur aussi bien que l’effort pedagogique de l’enseignant qui assume une responsabilite assez delicateN: nous offrir une synthese critique, accessible, exhaustive et efficace, de la culture numerique a l’etat actuel des choses. Au carrefour de deux exigences speculaires, celle de coder et celle de decoder, le sociologue organise ici une totalite de savoirs et de connaissances interdisciplinaires, naviguant entre informatique et philosophie, sociologie et theorie economique, sciences politiques et analyses de marche. Au centre de son analyse, les nouvelles configurations de l’espace public, les formes de la democratie internet, l’influence des algorithmes et des moteurs de recherche, le digital labor, le probleme de la surveillance. Notre compte rendu, sans aucune pretention d’exhaustivite, revient sur les principales etapes de cette veritable exploration de la culture numerique, qui s’adresse avant tout aux novices tout en constituant un instrument utile de synthese et de suggestions bibliographiques pour les chercheurs.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 teacher head, 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".