Place-Making and its Implications for Social Value: a Comparison Study of two Urban Squares in London
Bibliographic record
Abstract
This article aims to investigate the impact of place-making on the social value attached to two recently developed public squares in London.Empire and Bermondsey developments were developed with the explicit intention to have a public open space that is available for its residents and the surrounding community.Place-making supports the concept of generating places that improve the relationship between users and space, by increasing a sense of place.In this respect, social value is an intangible benefit that can be captured from places that shape community attitude and might often cater to necessary activities but is essential to everyday functions.Based on an extensive review of the literature and empirical work, this article will explore the similarities and differences between these two squares to deliver a better understanding of the reasons behind the urban design as a place-making tool in generating social values attached to physical spaces.These two squares are comparable in size, physical setting and geographical and social context providing unique contexts for socio-spatial analysis.This study follows a case-study approach.For both case studies, there are 100 surveys and 33 semi-structured interviews in total conducted with participants at the squares.Also, many site observations for this study have been taken, in both cases, at different times of the day tracking human movement, activities, spatial qualities, social interactions and spatial interrelations.The data gathered facilitate explicit connections between the behavioural, perceptual and social dimensions.These relationships are essential to understanding the role of urban design in adding social value.This study demonstrates the complex nature of the generation of social value in urban spaces through place-making.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".