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Record W3197640226 · doi:10.1080/09603123.2021.1977257

Made in the shade: A qualitative study of factors impacting shade provision at outdoor public parks

2021· article· en· W3197640226 on OpenAlexaff
Andrea N. Cimino, Jennifer E. McWhirter, Andrew Papadopoulos

Bibliographic record

VenueInternational Journal of Environmental Health Research · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsRecreationPublic parkBusinessGeographyArchitectural engineeringEnvironmental planningAdvertisingEnvironmental resource managementPolitical scienceEngineeringEnvironmental science

Abstract

fetched live from OpenAlex

Shade provides a variety of public health benefits; however, outdoor recreation sites often have limited shade. We conducted semi-structured interviews (n = 13) with shade stakeholders (i.e. individuals with a professional role involving shade design or provision) to gain in-depth understanding of the factors impacting shade provision at public parks. Interview transcripts were analyzed using inductive thematic analysis. Five main themes emerged: (1) attitudes toward shade at parks; (2) designing shade at parks; (3) advantages and disadvantages of natural and built shade; (4) barriers to shade at parks; and, (5) approaches to reduce shade barriers. Shade stakeholders indicated shade is important and necessary and they strive to design shade in park spaces with park user patterns in mind. However, barriers including competing interests, budget, space constraints, and maintenance and operational concerns can limit their ability to do so. Future research should determine strategies to overcome these barriers.

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 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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.229
GPT teacher head0.498
Teacher spread0.269 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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