Bibliographic record
Abstract
À l’aube du nouveau millénaire, se sont développées, notamment en France, à la suite d’expériences menées en particulier aux États-Unis, au Canada et en Suède, de nouvelles technologies du pouvoir punitif. Ces technologies, qui se traduisent par des dispositifs de contrôle inédits, à savoir précisément la surveillance électronique, apparaissent, de par la place importante qu’elles occupent dans le champ des pénalités et de par l’investissement intensif des pouvoirs publics qu’elles commandent aujourd’hui, comme ne devant désormais rencontrer aucun frein. Dès lors, c’est de tenter de circonscrire ici le principe organisationnel et fonctionnel inauguré par ces nouvelles technologies d’enfermement, puissamment dopées à l’électronique, que se propose cet article, et ce à travers la mise à plat d’éléments de réflexion sur la structure d’un des gestes punitifs contemporains des plus audacieux, des plus « renversants », et des plus malheureux sur le plan de la qualité et du sens de la prise en charge des condamnés.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.041 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 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".