Urbanization and agrobiodiversity: Leveraging a key nexus for sustainable development
Bibliographic record
Abstract
Expanding urbanization affects food biodiversity and broader agrobiodiversity, which are essential nutrition and ecosystem resources for sustainable development but are threatened globally. The increasingly influential nexus of urbanization-agrobiodiversity interactions has not been systematically researched. Here we design an interdisciplinary perspective to identify and understand the bidirectional interactions of agrobiodiversity in four major linkages: urban and peri-urban land use, urban food supply chains, urban food access, and urban food retailing. Agrobiodiversity is evident to varying degrees amid urbanization globally, rather than the previously assumed blanket incompatibility or unspecified partial compatibility. A proposed conceptual framework is used to hypothesize how these linkages create configurations of combined conditions that support agrobiodiversity amid expanding urbanization. These key conditions contain leverage points of the urbanization-agrobiodiversity nexus for policies to address nutrition insecurity and vital environmental functions. We conclude that the urbanization-agrobiodiversity nexus is a crucial new focus of interdisciplinary research to strengthen sustainable development and food systems.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".