Intelligence artificielle et médias sociaux : vers un nouveau paradigme de communication judiciaire
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cet article montre comment les médias sociaux et l’intelligence artificielle sont à la fois une menace et une opportunité pour le système judiciaire en tant qu’organisation. D’une part, ils subvertissent l’édifice du droit étatique, marginalisent les juridictions traditionnelles et aliènent les justiciables. D’autre part, ils impulsent un nouveau paradigme de communication judiciaire avec des postulats de relations publiques. Leur planification stratégique, allant des objectifs diffusionnistes aux finalités délibératives, guide les juges dans leurs usages personnels et professionnels. Ils contribuent ainsi à une nouvelle légitimité judiciaire s’appuyant non seulement sur la légalité, mais aussi sur la sociabilité et la socialité des acteurs de justice.
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.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it