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Record W4416092337 · doi:10.1080/23748834.2025.2566572

Designing and implementing nature-based interventions in community settings: a scoping review

2025· review· en· W4416092337 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

VenueCities & Health · 2025
Typereview
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsHamilton Health SciencesImpactMcMaster University Medical CentrePopulation Health Research InstituteMcMaster University
FundersFaculdade de Ciências da Saúde, Universidade de MacauBrock UniversityPublic Health AgencyPublic Health Agency of CanadaMcMaster UniversityCanadian Institutes of Health ResearchNovartisMohawk CollegeCity of Hamilton
KeywordsPsychological interventionWork (physics)Intervention (counseling)Context (archaeology)Qualitative researchSet (abstract data type)

Abstract

fetched live from OpenAlex

Childhood obesity is a pressing global health issue, particularly among children from newcomer families who often face challenges in accessing health-promoting resources. This scoping review, guided by the Arksey and O’Malley framework, investigates the design and implementation of nature-based interventions in community settings to foster healthy active living (HAL) among these children. We screened 4,010 articles, including 50 in this review. Our analysis revealed the theories and frameworks utilized to develop HAL interventions, the way in which nature was utilized by various communities, and how community members are connected to the current available HAL programming. This review underscores the importance of community engagement and addressing existing gaps in nature-based HAL interventions to enhance the health and well-being of children in newcomer families.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.367
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.087
GPT teacher head0.426
Teacher spread0.339 · 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