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Record W4411038572 · doi:10.1080/02723638.2025.2514053

“This is my home, and I am not ashamed to live here”: a comparative study of sense of belonging in Harare and Accra’s informal settlements

2025· article· en· W4411038572 on OpenAlexaff
Elmond Bandauko, Reforce Okwei, Godwin Arku

Bibliographic record

VenueUrban Geography · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsWestern UniversityUniversity of Alberta
Fundersnot available
KeywordsInformal settlementsHuman settlementSense of placeSociologyGeographySocioeconomicsEconomic growthArchaeologySocial science

Abstract

fetched live from OpenAlex

This paper examines sense of belonging among residents of informal settlements in Harare and Accra-—specifically, Hopley and Hatcliffe Extension in Harare, and Nima and Old Fadama in Accra. It contributes to and advances literature on sense of belonging in informal settlements by adopting a comparative approach. Our findings reveal both similarities and context specific dynamics on sense of belonging. Compared to Old Fadama, most participants from Nima, Hopley and Hatcliffe Extension generally expressed positive sentiments about their places of residence. They attributed their sense of home to the defacto legitimacy they enjoy and the incremental infrastructure improvements in their settlement – factors that residents of Old Fadama lack entirely. Conversely, Old Fadama residents endure spatial brutality, chronic flooding and entrenched place stigma, which disrupt their sense of belonging. Interestingly, across the four communities, participants fostered a strong sense of community resilience and collective solidarity, deeply rooted in shared struggles and social networks. Therefore, the heterogeneity of informal settlements in terms of legitimacy, exclusion, place stigma and levels of infrastructural development is critical in explaining variations in residents’ perspectives of their sense of belonging. The study highlights the need for informal settlement upgrading as a multifaceted intervention that reduces the burden of spatial deprivation.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.023
GPT teacher head0.295
Teacher spread0.272 · 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 designObservational
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

Citations7
Published2025
Admission routes1
Has abstractyes

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