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Record W4413088814 · doi:10.1080/26883597.2025.2534140

From blueprint to belonging: The transformative power of architecture in community development

2025· article· en· W4413088814 on OpenAlexaboutno aff
Aditi Nag, Madhura Yadav, Nidhi Rawat

Bibliographic record

VenueLocal Development & Society · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsnot available
Fundersnot available
KeywordsBlueprintTransformative learningArchitecturePower (physics)Development (topology)Community developmentSociologyPolitical scienceEngineeringGeographyPedagogyArchaeologyMathematicsMechanical engineering

Abstract

fetched live from OpenAlex

This paper presents a comparative analysis of two community-focused architectural projects: the Jewish Community Center in Mainz, Germany, and the Z.O.O. Co-op in Montreal, Canada. Through detailed case studies, the research examines how participatory design and cultural sensitivity contribute to the creation of inclusive environments that empower residents and enhance social connectivity. The analysis highlights the critical role of flexible spatial layouts, innovative communal spaces, and adaptive design elements in addressing evolving community needs and achieving long-term sustainability. By contrasting top-down consultative approaches with resident-driven design processes, the study identifies best practices and common challenges in community-focused architecture. The findings offer valuable insights for future architectural endeavors and suggest promising avenues for further research, including the scalability of community-focused models, the integration of advanced participatory technologies, and the exploration of innovative design strategies to foster social interaction.

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)0.010
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.002
Science and technology studies0.0150.037
Scholarly communication0.0120.010
Open science0.0020.016
Research integrity0.0020.002
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 head0.012
GPT teacher head0.234
Teacher spread0.221 · 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 designQualitative
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

Citations0
Published2025
Admission routes1
Has abstractyes

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