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Record W2032227693 · doi:10.1108/ijlbe-12-2013-0041

‘Temporary’ relocation: spaces of contradiction in South African law

2015· article· en· W2032227693 on OpenAlexaff
Duncan Ranslem

Bibliographic record

VenueInternational Journal of Law in the Built Environment · 2015
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRelocationSettlement (finance)NegotiationContradictionOriginalityLawScale (ratio)DemolitionSociologyPolitical scienceBusinessGeographyFinanceArchaeologyCartography

Abstract

fetched live from OpenAlex

Purpose – This study aims to examine how temporary relocation areas (TRAs), urban forms that facilitate evictions and forced relocations, have been written into South African legal and governmental structures through contested urban planning and legal regimes. Design/methodology/approach – Proceeding from the macro-scale of TRAs spread across the nation, to the mezzo-scale of the Delft Symphony Way TRA in Cape Town, to the micro-scale of an individual “blikkie” (housing unit) within this camp, the article looks at the form and function of the TRA in urban resettlement practices. Special attention is given to relocation areas’ designation as “temporary” spaces and the consequences of this temporal designation in law and on the ground. Findings – These sites have developed as technologies for negotiating competing demands on the state, and their presence foregrounds some of the deeply rooted contradictions in post-apartheid South Africa. They are places both within and apart from the city, often managed by city officials according to municipal specifications, but located proximally to key urban amenities, utilities services and employment centers. They also place contradictory demands on their residents, for whom making the TRA liveable also legitimates it as a form of housing. Originality/value – This article uncovers several concerns about TRAs, including their inadequacy for long-term settlement, their problematic usage as tools of dispossession and the spatial-material-legal imbrications by which TRAs exist, persist and act back upon both individual lives and policy spheres.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.084
GPT teacher head0.382
Teacher spread0.298 · 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 designQualitative
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

Citations10
Published2015
Admission routes1
Has abstractyes

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