Bibliographic record
Abstract
Paris hasn't experienced such excitement since the huge changes brought about by Baron Haussmann in the 19th century. Paris Rive Gauche project, started in 1991, is the largest urban project in city ever since, it represents about 1% of Paris territory. It takes place on a workshops, factories and warehouses area that prospered along the Seine river and the railways in the 19th century. Originally planned as a business quarter, Paris Rive Gauche, developed by SEMAPA for the City of Paris, fosters urban diversity through housing, offices, public facilities, shops, creating a stimulating neighbourhood where 18,000 residents, 30,000 students as well as 60,000 employees will soon croth paths. This project's main principles are urban and social diversity, deployment of public facilites, the development of new university campus inside the city, promotion of industrial patrimony and connecting the old 13th distict to the river and the opposite side. Half of the project is going to be built on a concrete slab that covers the railway tracks which is one of the major performances of this long-term project. This concrete slab represents the new level of the City, about 6 to 8 meters above the railway tracks. We distinguish three families of buildings on the cover : Classic buildings; Bridges buildings and Connection buildings, these last guarantee the linkage between old and new level of the City.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".