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Record W4321442586 · doi:10.1017/s1743923x22000721

How Jacob Zuma Revitalized Feminism in South Africa

2023· article· en· W4321442586 on OpenAlexaff
Shireen Hassim

Bibliographic record

VenuePolitics & Gender · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSouth African History and Culture
Canadian institutionsCarleton University
Fundersnot available
KeywordsFeminismPolitical sciencePresidential systemGovernment (linguistics)Media studiesFront (military)Gender studiesLawSociologyPoliticsEngineering

Abstract

fetched live from OpenAlex

On August 6, 2016, the week of the South African public holiday Women’s Day, an extraordinary protest held the nation spellbound. Then president Jacob Zuma was announcing the results of local government elections live on national television when four young women walked out of the throng of election officials and politicians. They stood in front of the president, silent but visible on the televised screen. They held up placards: “I am 1 in 3,” “Ten Years Later,” “Khanga,” “Remember Khwezi.” Although the protesters stood for the duration of the broadcast, they were forcibly removed by security agents immediately after Zuma left the stage and the cameras moved offscreen. Hustled to the back of the room, they were lambasted by senior women leaders of the African National Congress (ANC) for their “inappropriate” action. This was a spectacular demonstration: silent and nonviolent, its tactics and timing pierced the performance of presidential authority and made visible a new form of feminism.

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)0.007
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: none
Teacher disagreement score0.030
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0300.032
Scholarly communication0.0080.009
Open science0.0010.011
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0110.001

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 head0.093
GPT teacher head0.312
Teacher spread0.219 · 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

Citations7
Published2023
Admission routes1
Has abstractyes

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