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Record W1983570010 · doi:10.4314/ad.v34i3-4.63525

1 - Wasted Citizenship? Reclaimers and the Privatised Expansion of the Public Sphere

2009· article· en· W1983570010 on OpenAlexaff
Mélanie Samson

Bibliographic record

VenueAfrica Development · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsYork University
Fundersnot available
KeywordsPublic sphereCitizenshipRealmLivelihoodPrivate sphereGovernmentalityPolitical economyPublic administrationCommonsDismissalNegotiationPolitical scienceSociologyEconomicsPoliticsLaw

Abstract

fetched live from OpenAlex

A large body of literature explores changes in the public sphere relatedto the transfer of services and activities performed by the public intothe private sector. Less attention has been paid, however, to theprivatised expansion of the public sphere. This article explores such aprocess in Metsimaholo, South Africa, where the municipality soughtto bring landfill recycling into the realm of public policy through apublic-private partnership. As informal reclaimers had salvagedrecyclables at the dump for several decades, this contract amounted toan enclosure of the waste commons which dispossessed them of controlover their livelihood and confined them to the informal economy.Countering structuralist accounts of accumulation by dispossessionand top-down approaches to governmentality, the article focuses onhow reclaimers contested these processes. It argues that before thereclaimers could negotiate with the state, they needed to mount an‘ontological insurrection’ to counter their dismissal as mere ‘detritus’and demand that the conception of the public sphere be expanded toinclude them as legitimate actors in the realm of public policy. Whilethis may result in a reconfiguration of the public sphere, it is unclearwhether it would challenge the current privatised nature of itsexpansion.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.015
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0130.075
Scholarly communication0.0150.021
Open science0.0020.013
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0100.001

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 head0.029
GPT teacher head0.260
Teacher spread0.231 · 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 source (direct Gemma or distilled Codex), 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

Citations46
Published2009
Admission routes1
Has abstractyes

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Same venueAfrica DevelopmentSame topicLegal Issues in South AfricaFrench-language works237,207