Le difficile renouvellement des métiers de la sécurité publique. Le cas des correspondants de nuit parisiens
Bibliographic record
Abstract
De nouveaux métiers, à la charnière entre accompagnement des personnes, médiation et répression, ont émergé depuis une vingtaine d’années. Ces nouveaux métiers contribuent à rendre plus floue la frontière entre police et contrôle social. La question consiste alors à savoir si ces nouveaux agents contribuent effectivement à réguler les espaces collectifs, c’est-à-dire à prévenir les nuisances, à régler les conflits, voire à favoriser des formes de vivre-ensemble. Sur la base d’une étude du dispositif des correspondants de nuit de la Ville de Paris, cet article s’interroge sur la place qu’occupent ces acteurs à partir des savoirs et savoir-faire qu’ils sont capables de mobiliser, de leur inscription dans les quartiers et de leur insertion dans les partenariats. Il met en question les ambivalences, paradoxes, fragilités de ces nouveaux métiers et le difficile renouvellement des métiers de la sécurité publique.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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; both teacher heads agree on what is shown here.
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".