Enseignes commerciales, traces et transition urbaine. Quartier de Figuerolles, Montpellier1
Bibliographic record
Abstract
La ville se définit comme une somme de lieux et d'espaces. Le lieu serait de l'ordre de l'immuable, de l'être là, repères visuels, lieux commémoratifs, monuments, magasins. L'espace serait façonné par les actions, les mouvements, les visions des habitants ou des passants. Ainsi, les représentations des villes se construisent à travers la mise en mots des lieux et des espaces et les frontières urbaines, délimitation de quartiers notamment, se définissent à travers des territoires sociaux et langagiers. Dans un premier temps, nous confronterons nos approches en sociolinguistique et en géographie en particulier à travers les notions de lieu, espace et territoire. Dans un second temps, nous essaierons de voir comment des inscriptions urbaines multilingues dans des quartiers de Montpellier peuvent faire d'un lieu un espace social en changement et en mouvement et comment se redessinent, à travers des inscriptions, les limites de territoires.
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 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".