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Producing Privatization: Re‐articulating Race, Gender, Class and Space

2010· article· en· W2079871971 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.

Bibliographic record

VenueAntipode · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsYork University
Fundersnot available
KeywordsRacializationRace (biology)Marxist philosophySociologyIdeologyGender studiesPoliticsClass (philosophy)Space (punctuation)Capital (architecture)Political economyPolitical scienceLawGeographyEpistemology

Abstract

fetched live from OpenAlex

Abstract: This article combines insights into the mutually constituting nature of gender, race, class and space with Marxist analyses that interrogate how social relations both produce and are constrained by institutions to explore waste management privatization in Johannesburg. It argues that the crystallization of racialized, gendered inequalities within bargaining institutions underpinned financial motivations for privatization. The form of privatization varied across the city due to the ways in which the class of the area serviced articulated with the racialization and gendering of capital and labour in these spaces. An array of material conditions and ideologies informed these processes in which workers were active, although not necessarily progressive agents. Focusing on how privatization is produced through spatialized and institutionalized social relations illuminates avenues for struggle hidden from view in both aspatial, ideal‐type feminist political economy analyses and geographic analyses of privatization inattentive to the mutually constituting nature of gender, race and class.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.370
Threshold uncertainty score0.340

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.026
GPT teacher head0.288
Teacher spread0.262 · 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