Pieds marchant, pieds faisant. Quand la marche interroge l’ambiance
Bibliographic record
Abstract
Cet article tente de comprendre l’expérience corporelle déambulatoire à travers son rapport aux ambiances architecturales et urbaines, en prenant pour terrain les projets d’animation éphémère, ces derniers, à travers une scénographie programmée, véhiculant des ondes de (ré)animation qui façonnent et affectent la mobilité quotidienne. Les auteurs proposent de décrire l’expérience du marcheur en empruntant une optique sensible et spatio-temporelle qui intègre psychogéographie et time geography. En prenant acte des aspects sensibles et affectifs de la marche en relation avec ces ambiances éphémères, il s’agit de souligner l’intérêt et les enjeux d’un urbanisme éphémère et festif s’exprimant dans le renouveau de la marche. L’objectif principal de cet article est de mettre en exergue, à partir d’une proposition méthodologique à la croisée de plusieurs disciplines, l’aspect sensoriel de l’expérience déambulatoire, en saisissant le langage corporel et multisensoriel du marcheur ainsi que sa perception et sa représentation cognitive des ambiances.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".