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Record W7133017919

Reluctant Relations: And Ethnography of 'Outreach' in a Post-apartheid City

2011· dissertation· en· W7133017919 on OpenAlexafffund
Mettje Christine deGelder

Bibliographic record

VenueTSpace · 2011
Typedissertation
Languageen
FieldSocial Sciences
TopicSouth African History and Culture
Canadian institutionsUniversity of Toronto
FundersUniversity of TorontoSocial Sciences and Humanities Research Council of CanadaWenner-Gren Foundation
KeywordsEthnographyNegotiationImpossibilityOutreachEveryday lifeWork (physics)Governmentality
DOInot available

Abstract

fetched live from OpenAlex

This dissertation focuses on performance, moral practice, and self-respect in an urban South African setting. Taking as its point of departure the emergence and rapid expansion, in the 1990s and 2000s, of an outreach organization I call Jesus People Pretoria (JPP), it discusses this NGO’s attempt to create a ‘moral community’ in the post-apartheid city from the diverse vantage points of its Afrikaner leaders, its clients, and—most emphatically—its lay workers, the majority of whom are black women. Gradually moving from the everyday stage of outreach labour towards women’s gendered performances within and beyond the work environment, it proposes that at stake in the making of the JPP moral community is the negotiation of self-respect, which hinges upon the degree to which interactions imply the fostering or refutation of mutual respect, or the measure of the ‘equality’ of the exchange. As an urban entity deeply entwined in and illuminative of South Africa’s broader post-apartheid ironies, including ongoing race-based differentiation and the pervasiveness of HIV/AIDS and death, predominantly moral practice here remains but ambivalently constituted. Yet this does not denote the absence of the moral but temporarily rests it in the region of the indistinct, the unresolved, in the moment of its apparent impossibility or unachievability.

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)0.004
metaresearch head score (Gemma)0.006
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0230.016
Scholarly communication0.0070.006
Open science0.0020.008
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.065
GPT teacher head0.376
Teacher spread0.311 · 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

Citations0
Published2011
Admission routes2
Has abstractyes

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