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Record W4404557552 · doi:10.1016/j.envsci.2024.103951

What is equitable urban forest governance? A systematic literature review

2024· article· en· W4404557552 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEnvironmental Science & Policy · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsGeneral Electric (Canada)University of British Columbia
FundersUniversity of British Columbia
KeywordsCorporate governanceBusinessEnvironmental planningEnvironmental resource managementGeographyEnvironmental scienceFinance

Abstract

fetched live from OpenAlex

Urban forest governance comprises the formal and informal rules, institutions, and processes that influence collective decision-making in urban forest management. As such, it shapes key processes and outcomes that are implicated in urban environmental justice, including whose priorities and values are reflected in urban forest management and how and where urban trees are distributed. However, despite its central role in determining urban forest processes and outcomes, equity within urban forest governance remains obscure. To address this, we conducted a literature review to identify how equitable urban forest governance is conceptualized and evaluated in the literature, and what gaps in knowledge remain. Our review found that while distributional justice was the prevalent framing in the literature, recommendations for collaborative governance approaches reflect a shift towards procedural and recognitional justice. Most studies, however, used a top-down approach to evaluate policy outcomes and few incorporated community experiences or involvement within governance processes, leaving the roles and experiences of community actors underexplored. Our findings suggest that the existing literature has thus far failed to explicitly interrogate procedural and recognitional justice within urban forest governance. This highlights a critical need to more clearly incorporate procedural and recognitional justice themes and approaches into future urban forest governance theory, research, and practice. Based on our review, we offer a guiding analytical framework that identifies key considerations for equitable urban forest governance. • Distributional justice was the most common way authors framed their work. • The most common methods were spatial analysis and/or interviews with leading actors. • Collaborative governance reflects a shift toward procedural and recognitional justice. • Future studies should apply community-centered procedural/recognitional approaches. • Our review informs an analytical framework for equitable urban forest governance.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.637
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0010.004
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.007

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.

Opus teacher head0.009
GPT teacher head0.268
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it