La figure du réseau au cinéma : coupe(s) mobile(s) pour représenter les dynamiques de l’urbain contemporain
Bibliographic record
Abstract
Figurer l’urbain contemporain, c’est relever l’enjeu de formaliser des rythmes, des mouvements, des fluctuations tout en cherchant à ne pas faire abstraction de son caractère dynamique. En structurant le propos autour du réseau, vocable polysémique et représentation graphique protéiforme rendant le mieux compte de l’urbain contemporain, du moins est-ce l’hypothèse ici formulée, cet article vise à discuter des enjeux actuels, tant conceptuels que méthodologiques, de la représentation des temporalités et des dynamiques. Exprimer graphiquement le réseau dans sa complexité invite à passer de coupes immobiles à des coupes mobiles et la thèse défendue ici est que le cinéma, par son imaginaire graphique peut participer de cet exercice. Cet apport tient notamment au fait que le cinéma permet d’isoler deux éléments d’analyses de l’urbain qui s’expriment graphiquement : le damier et la trajectoire.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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 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".