BAUM – Biodiversité, aménagement urbain et morphologie: Projet RÉAUMUR
Bibliographic record
Abstract
The goal of the RÉAUMUR project was to identify the influence of urban morphology on pollinators communities, including the interactions with local flora. Given that these communities are favoured by intermediate densities of urban fabric on the urbanisation gradient, the project was focused on this range of density to address the role of urban patterns. We assumed that pollinator richness and the interactions with flora are favoured by urban patterns including a large part of continuous herbaceous areas and, at a broader level, by the connectivity of herbaceous environment in the urban layout. To address these issues, two steps were carried out: a local analysis applied to the agglomeration of Dijon (France), and a national analysis applied to a set of 45 urban agglomerations of metropolitan France. In both cases, data on pollinators were acquired to define biological responses to be analysed. At the same time, geographical data were processed to define spatialised variables representing the assumptions to be tested. The statistical analyses gathering these data led first to come back on expected elements, as the basic influence of vegetal diversity, the importance of the amount of local herbaceous resources, and the negative role of culture in the surrounding environment. These analyses also led to notice that urban fabric mainly composed of detached houses provides a lower pollinator richness than urban fabric including large commercial buildings. The interpretation of these outcomes shows that for a better understanding of differences between urban patterns, spatial structures defined by land cover should be directly coupled with management types and usages of herbaceous areas.
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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.048 | 0.016 |
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".