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Record W4393315882 · doi:10.47941/ijars.1789

The Socio-cultural Significance of Street Art in Urban Recreation Spaces

2024· article· en· W4393315882 on OpenAlexaff
William King’ori

Bibliographic record

VenueInternational Journal of Arts Recreation and Sports · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Spaces through Art
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsRecreationGeographySociologyVisual artsAdvertisingArtPolitical scienceBusiness

Abstract

fetched live from OpenAlex

Purpose: This study aimed to examine the socio-cultural significance of street art in urban recreation spaces. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the socio-cultural significance of street art in urban recreation spaces. This study has provided insights into how street art enriched urban environments by reflecting community identity, fostering social interaction, and promoting cultural expression. It highlighted the need for inclusive policies to support street art's positive impact while addressing regulatory challenges. Overall, the research underscored street art's role as a dynamic force for social change and community empowerment within urban landscapes. Unique Contribution to Theory, Practice and Policy: The Symbolic Interactionism theory, Place Attachment theory and Critical theory may be used to anchor future studies on the socio-cultural significance of street art in urban recreation spaces. The study made comprehensive recommendations across theory, practice, and policy domains. The research emphasized the importance of advancing theoretical frameworks to capture the multifaceted nature of street art's impact, fostering collaboration between street artists, urban planners, and community stakeholders in practice, and advocating for the development of supportive regulatory frameworks and policies at the policy level. By engaging with interdisciplinary perspectives and promoting community-led initiatives, the study aimed to enhance our understanding of street art's role in shaping urban landscapes and fostering social cohesion and cultural expression.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.015
Scholarly communication0.0080.003
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.019
GPT teacher head0.334
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2024
Admission routes1
Has abstractyes

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