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Record W2913082798 · doi:10.1177/1462474518822485

‘Three warnings and you’re out’: Banishment and precarious penality in South Africa’s informal settlements

2019· article· en· W2913082798 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePunishment & Society · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of Toronto
FundersConnaught Fund
KeywordsPunitive damagesPrecarityPunishment (psychology)CriminologyState (computer science)SociologyPolitical scienceLawSocial psychologyPsychology

Abstract

fetched live from OpenAlex

This paper asks how punitive forms of non-state punishment play out on the margins of the state, in informal (shack) settlements in South Africa. My focus is on the practice of forcing those who are suspected of certain offences to leave their homes in informal settlements. I refer to this as ‘banishment’ and argue that it is a ‘penal phenomenon’ which is intimately tied to the general precarity that residents experience on a daily basis. The paper examines the ways in which these formally illegal, but nonetheless legitimate practices, draw on and reconfigure liberal state punishment. I use my study to make a broader theoretical point about the interplay between lawful state punishment and unlawful punishment on the periphery of the state. The blurred boundaries between legal (state) violence and illegal (but nonetheless legitimate) violence are particularly ‘visible’ in situations of ‘precarious penality’ – a term that I use to describe the unstable, violent and exclusionary penality that manifests in situations of socio-economic precarity, particularly in contexts of inequality, high rates of violent crime and a delegitimated rule of law. In these circumstances ‘non-state’ punishment contributes to the construction and maintenance of group boundaries and fulfils a similar function to ‘formal’ punishment. Thus, I ask whether it makes sense to exclude ‘non-state’ public authorities which act against ‘criminality’, when asking what or who constitutes the penal field and, when measuring state punitiveness?

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.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.023
GPT teacher head0.279
Teacher spread0.256 · 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