La gouvernance Internet : un cas d’école pour la normativité contemporaine
Bibliographic record
Abstract
Françoise Massit-Folléa (ENS-LSH, Université de Lyon) et Marie Cécille Naves (FMSH Paris), dans le deuxième article intituléLa gouvernance Internet, un cas d’école pour la normativité contemporaine, s’intéressent à la gouvernabilité du réseau des réseaux, comme le veut l’expression consacrée, nommément l’Internet. Rejetant le traditionnelle opposition binaire entre les « thuriféraires de l’indépendance du cyberespace » et les « sourcilleux serviteurs du droit public », les auteures avancent plutôt que l’Internet, malgré l’absence d’un centre, n’en demeure pas moins configuré par de nombreux arrangements techniques, économiques et politiques, dont l’opacité et la complexité n’ont d’égal que l’importance. Leur analyse permet d’enrichir notre compréhension de plusieurs dimensions fondamentales de la société contemporaine, parmi lesquelles : le primat affiché de l’économie immatérielle, les sources et les usages multiples de l’innovation, le périmètre mouvant de l’espace public, la place toujours renouvelée de la communication dans l’expérience démocratique, l’évolution hasardeuse des relations internationales.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.020 |
| Scholarly communication | 0.017 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".