Advancing green space equity via policy change: A scoping review and research agenda
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
Urban green spaces – including parks, trees, and other vegetated areas – are inequitably distributed in cities worldwide, as underserved groups, such as low-income and people of color, have significantly lower provisions of such resources. Motivated by the health benefits of green spaces, advocates and policymakers in several countries have sought to ameliorate these systemic inequities by implementing green space equity initiatives. Many such initiatives are individual projects (e.g., a new park in an underserved neighborhood), but new policies have also been implemented to advance green space equity. To date, limited research has examined which policies have been implemented, what it takes to adopt and implement them, and whether they have effectively advanced green space equity. Based on a scoping literature review and a workshop with an interdisciplinary group of researchers, we developed a research agenda on green space equity policy. Our research agenda includes research questions grouped into four interrelated themes: policy impact and evaluation, power building and policy change, green gentrification, and health equity and climate change. The contributions of this paper are twofold: We synthesize current knowledge on green space equity policy and present a research agenda whose findings can inform policy work on green space equity. • Limited research has examined policies to advance green space equity. • We developed a research agenda on green space equity policy based on a scoping review and a workshop. • In the review, we identified research on green space equity policies, processes to adopt them, and their effectiveness. • Agenda themes include policy evaluation, power building, green gentrification, and health equity and climate change. • Research on green space equity policy speaks to global challenges such as health inequities and climate change.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.006 |
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