Parcours augmentés, une expérience sensible entre arts et sciences sociales
Bibliographic record
Abstract
Quelles traces laissent en nous une promenade urbaine ? Chaque jour, nous faisons l’expérience d’espaces, nous arpentons les rues d’un quartier, nous traversons une ville ou un espace géographique. Nous nous fabriquons une représentation et une mémoire de ces espaces. Comment saisir, faire exister, utiliser ces images invisibles de la ville ? Telles sont les questions posées pour un atelier réunissant un groupe de chercheurs et d’artistes à Rezé (44) du 1er au 5 septembre 2014 dans l’École thématique Mob’Huma’Nip « Arts et sciences sociales en mouvement : narrations, iconographies et parcours pour revisiter l’in situ ». Dès lors, le collectif artiste-chercheurs ainsi formé s’est attaché à explorer la relation sensible au terrain en réalisant durant cinq jours un ensemble d’expérimentations au sud de Nantes, mêlant performances et productions plastiques. Le présent carnet de terrain se veut la restitution de cette collaboration entre arts et sciences.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.025 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.019 | 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".