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Record W4414926178 · doi:10.1080/14649365.2025.2570229

‘No one can just occupy the space without our permission’: informal governance mechanisms and the politics of street traders’ access to space in Harare’s contested Central Business District (CBD)

2025· article· en· W4414926178 on OpenAlexafffund
Elmond Bandauko

Bibliographic record

VenueSocial & Cultural Geography · 2025
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of CanadaInternational Development Research Centre
KeywordsPoliticsSpace (punctuation)Corporate governanceCentral business districtInformal sectorGovernment (linguistics)Ethnography

Abstract

fetched live from OpenAlex

Drawing from focus group discussions and semi-structured interviews, this paper examines how street traders in Harare (Zimbabwe) negotiate and regulate access to trading spaces among themselves. While most studies on street trading focus on state – trader conflicts and traders’ resistance to exclusionary practices, this study shifts attention to the often-overlooked role of informal governance mechanisms that traders employ to regulate access to space. The findings reveal that access to vending space by street traders is negotiated through a range of informal mechanisms, including social control practices, personal networks, and, in some cases, heritability. The ability to negotiate and secure space is highly differentiated, often shaped by gender, experience, traders’ status and social influence within the vending community. The study therefore calls for a more nuanced understanding of intra-informal dynamics and everyday forms of governance that structure life in informal urban economies.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.045
GPT teacher head0.375
Teacher spread0.330 · 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.

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

Citations6
Published2025
Admission routes2
Has abstractyes

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