Bibliographic record
Abstract
Processed expertise report on the organization of the Grand Paris 2025 world expo with Toulouse as a “satellite” city. We offer a geohistorical justification through the history, economy and geography of the major regional exhibitions of the 19th and early 20th centuries. We demonstrate the legitimacy of our regional metropolis, through its history, its sector of aeronautical and space excellence (industry), the men and women of the employment area. To this end, a tourist city is offered to visitors, more sustainable through transport and innovations in leisure, science, knowledge which are more accessible and a return to the natural interfaces of the city. To this end, it is necessary to take into account the notion of road, path, memory and spirit of places through the museum and the Aéropostale runway in Toulouse, a changing district in Montaudran, recalling similarities with Highway 86 and the roads of Vancouver to discover the international exposition - exhibition. The staging and narrative of the metropolis through the idea of track, of path is emerging. If in Osaka 1970, world expo, Kenzo Tange built a central pavilion, a crossing point and receptacle for all the themes, they carried out an original classification using color schemes (color code) that a good number of subsequent exhibitions would take into account. It’s up to us to take inspiration from this for our front doors. The idea of the Piste des Géants path offers Toulouse, with a wider spectrum and interactive doors too, a way to mix and reconcile visitors, desires and the vision of a city of science and innovation.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.192 | 0.062 |
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".