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Record W3171212085 · doi:10.1177/09646639211022786

Settler Colonialism and the South African TRC: Ambivalent Denial and Democratisation Without Decolonisation

2021· article· en· W3171212085 on OpenAlexaff
Augustine S. J. Park

Bibliographic record

VenueSocial & Legal Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsCarleton University
Fundersnot available
KeywordsColonialismDecolonizationDenialDemocratizationScholarshipGender studiesAmbivalenceSociologyPolitical scienceHistoryPoliticsLawDemocracyPsychologySocial psychologyPsychoanalysis

Abstract

fetched live from OpenAlex

In the quarter-century since it began its work, the South African TRC has been endlessly debated. At the same time, a field of study emerged centred on settler colonialism, and settler colonial analyses have become established in transitional justice. South Africa’s TRC, however, has escaped examination through the lens of settler colonialism. Typically, settler colonialism in South Africa is treated as an historical phase; however, recent scholarship emphasises South Africa’s colonial present. Following these insights, this article: (1) establishes the relevance of a settler colonial lens for interpreting the South African TRC by demonstrating the settler colonialism of apartheid; (2) provides an empirical examination of the TRC’s Report. The Report acknowledges settler colonialism while advancing a series of denials, producing ‘ambivalent denial’; (3) explores the implications of ambivalent denial. Specifically, ambivalent denial contributes to democratisation without decolonisation by enabling settler denial and failing to address settler colonial structures.

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)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.046
Scholarly communication0.0050.004
Open science0.0010.008
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.037
GPT teacher head0.351
Teacher spread0.314 · 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 designNot applicable
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
Published2021
Admission routes1
Has abstractyes

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