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Record W2620060284 · doi:10.15173/glj.v8i2.3045

Marikana and Beyond: New Dynamics in Strikes in South Africa

2017· article· en· W2620060284 on OpenAlexvenueno aff
Edward Webster

Bibliographic record

VenueGlobal Labour Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsPower (physics)DemocracyPolitical economyPoliticsSociologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Political and social change in South Africa has been crucially shaped by large-scale strikes that have often taken a violent form. In spite of South Africa establishing a constitutional democracy in 1994 – and a new vision of industrial relations – violence has become so entangled in institutional life that South Africa has been described as a “violent democracy”. The massacre of thirty-four striking workers by heavily-armed police at Marikana in August 2012 was a culmination of this trajectory. The article explores the possibility of a nonviolent resolution of industrial disputes. This would require the capability of unions to recognise and strategically use the four dimensions of union power: structural, institutional, associational and societal. Without such capabilities, power resources may go unutilised, or be strategically ineffective. The article argues that in post-apartheid South Africa, associational power has become disconnected from institutional power. Instead of a vital interaction between the two, the institutions created by the new labour regime have become disconnected from the organisations that created them.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.027
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0150.011
Scholarly communication0.0100.007
Open science0.0010.009
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0100.000

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 head0.015
GPT teacher head0.288
Teacher spread0.273 · 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

Citations13
Published2017
Admission routes1
Has abstractyes

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