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Record W4407730726 · doi:10.1080/13563475.2025.2466762

Making space for difference in Vietnamese public spaces: the case of the Tô 16 community playground

2025· article· en· W4407730726 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

VenueInternational Planning Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsVietnameseSpace (punctuation)Public spaceSociologyEconomic geographyGeographyArchitectural engineeringLinguisticsEngineeringPhilosophy

Abstract

fetched live from OpenAlex

This paper examines the role of public spaces in fostering positive forms of togetherness in Hanoi, Vietnam, through the case of a multifunctional playground in a lower socio-economic area. Using questionnaires and interviews with users and stakeholders, we analyse how planning and design approaches facilitate interactions between socio-economic groups. The findings reveal that the project's narrative and its participatory design approach created space for social difference in an exclusionary environment. While direct intergroup interactions remain limited, the convivial atmosphere, which developed in the playground, helped foster a sense of inclusivity. These insights contribute to debates about how social difference is negotiated in contexts where policies emphasize assimilation over diversity. They also inform efforts to understand how built environment professionals can design public spaces that encourage positive encounters across social divides.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.376
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.160
GPT teacher head0.438
Teacher spread0.278 · 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