Evidence map›Paper›PMID 39186562›Full record

ArticlePloS one2024

Using residents and experts to evaluate the validity of areal wombling for detecting social boundaries: A small-scale feasibility study.

Meng Le Zhang, Aneta Piekut, Zanib Rasool, Lydia Warden, Henry Staples, Gwilym Pryce

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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Meng Le ZhangDepartment of Economics, University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0002-7609-7457
Aneta PiekutSheffield Methods Institute, University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0002-3478-0354
Zanib RasoolRotherham United Community Sports Trust, Rotherham, United Kingdom.
Lydia WardenSheffield Methods Institute, University of Sheffield, Sheffield, United Kingdom.
Henry StaplesSheffield Methods Institute, University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0002-9165-264X
Gwilym PryceDepartment of Economics, University of Sheffield, Sheffield, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies have explored the relationship between socially constructed neighbourhood boundaries (henceforth social boundaries) and ethnic tensions. To measure these relationships, studies have used area-level demographic data to predict the location of social boundaries and their characteristics. The most common approach uses areal wombling to locate neighbouring areas with large differences in residential characteristics. Areas with large differences (or higher boundary values) are used as a proxy for well-defined social boundaries. However, to date, the results of these predictions have never been empirically validated. This article presents results from a simple discrete choice experiment designed to test whether the areal wombling approach to boundary detection produces social boundaries that are recognisable to local residents and experts as such. We conducted a small feasibility trial with residents and experts in Rotherham, England. Our results shows that participants were more likely to recognise boundaries with higher boundary values as local community borders. We end with a discussion on the scalability of the design and suggest future improvements.

Indexed as

Feasibility StudiesAdultAgedEnglandFemaleHumansMaleMiddle AgedResidence CharacteristicsYoung Adult

Identifiers

PMID39186562
PMCPMC11346722

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.