Code and Data for "Effects of urbanization on selection, local adaptation, and eco-evolutionary feedbacks"
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
R script and data files for reproducing the analyses presented in the mansucript "Effects of urbanization on selection, local adaptation, and eco-evolutionary feedbacks" by Ella Martin & Marc T.J. Johnson (2025). Analyses were conducted in R v. 4.4.2. Here, we conducted a reciprocal transplant experiment using white clover (Trifolium repens) from urban and rural populations in 5 urban common gardens and 5 rural common gardens. Half of the plants in gardens produced the antiherbivore chemical defense hydrogen cyanide (HCN), and the other half lacked the defence, since this trait is known to exhibit genetic clines along urbanization gradients. We measured multiple fitness traits and ecological interactions with herbivores, pollinators, and mutualistic root bacteria. We detected divergent selection on HCN between urban and rural environments, where HCN improved fitness in rural environments and reduced fitness in urban environments. Furthermore, there was genetic divergence between urban and rural white clover populations that drove a tradeoff in life history strategies, whereby urban plants invested more in vegetative growth whereas rural plants produced more flowers and seeds. Finally, we demonstrate eco-evolutionary feedbacks, with increased herbivory at rural sites, and increased pollinator visitation to acyanogenic plants at urban sites.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it