Urban phosphorus sustainability: how human diet, urban agriculture and socioecological context influence phosphorus cycling and management
Bibliographic record
Abstract
Sustainable phosphorus (P) management is emerging as a pressing concern at both global and local scales because P is an essential nutrient in agriculture and an important aquatic pollutant.While there has been considerable progress in our understanding of the problems caused by human alteration of the P cycle, there remain critical knowledge gaps that hinder our ability to effectively manage this key element.For example, although we know cities are hotspots of P movement on the landscape because they concentrate P inputs (food) and P outputs (food and sewage waste), we have limited knowledge about how P moves in and through cities and the role cities could play in more sustainable P management.We also do not know how important individual choices, such as diet, are in determining overall demand for P. In this thesis, I explore the role cities can play in improving P management, through diet and urban agriculture.Throughout, I focus on how an interdisciplinary approach that incorporates the ecological, social, and technological factors that drive urban P cycling can enhance our ability to answer questions about P management in cities.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".