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Record W4402036654 · doi:10.25034/ijcua.2024.v8n1-12

Integrating Dynamic Culture and Participatory Design in Urban Spaces for Sustainable Futures

2024· article· en· W4402036654 on OpenAlexaff
Inès Sahtout Gaha, Imen Ben Youssef Zorgati, Zoubeir Lafhaj

Bibliographic record

VenueJournal of Contemporary Urban Affairs · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCitizen journalismParticipatory designPhotovoiceFutures contractContext (archaeology)SociologyUrban designParticipatory GISCommunity designCultural heritageKnowledge managementUrban planningEnvironmental planningPublic relationsComputer scienceGeographyCivil engineeringEngineeringPolitical scienceBusinessEconomic growthWorld Wide Web

Abstract

fetched live from OpenAlex

This study explores the intersection of dynamic culture and participatory design in urban spaces, emphasizing the role of user experiences in shaping urban environments. By integrating residents' input in the design and planning processes, this research aims to foster sustainable, viable urban futures that reflect local cultural dynamics and community needs. Utilizing a case study in Tataouine, Tunisia, the research employs parametric mapping and user experience mapping to analyze interactions with heritage sites and public spaces. This approach captures qualitative data on user experiences and overlays it with spatial context, enabling the identification of patterns and relationships between cultural practices and territorial dynamics. The study aims to identify key factors for citizen participation, analyze user experiences in relation to cultural dynamics, and formulate recommendations for integrating participatory design principles. By aligning urban development with a dynamic culture and user-centric design, the study envisions urban spaces that are inclusive, sustainable, and reflective of local identities. The findings underscore the potential of participatory design to enhance the value of urban heritage and promote a more engaged and resilient urban community.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.666
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
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 head0.079
GPT teacher head0.269
Teacher spread0.190 · 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.

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

Citations6
Published2024
Admission routes1
Has abstractyes

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