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Record W4312153736 · doi:10.1111/jols.12400

The counter‐reparative impacts of South Africa's reparations gap: victims as reparations ‘experts’ and the role of victims’ organizations

2022· article· en· W4312153736 on OpenAlex
AUGUSTINE S. J. PARK, Madalena Santos

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

VenueJournal of Law and Society · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSouth African History and Culture
Canadian institutionsCarleton University
Fundersnot available
KeywordsNexus (standard)InjusticePolitical scienceState (computer science)Government (linguistics)PerceptionCriminologyLawSociologyPsychologyEngineering

Abstract

fetched live from OpenAlex

Abstract This article offers a victim‐centric analysis of reparations relating to apartheid in South Africa. We identify a multi‐dimensional ‘reparations gap’, which refers to the disconnect between victims and the state in relation to reparations, including the meanings attributed to reparations, and the perception, evaluation, and experience of reparations. The reparations gap has had profoundly ‘counter‐reparative’ impacts on the relationship between victims and the government. Appreciating victims as reparations ‘experts’ with unique knowledge rooted in lived experience, this article explores their narratives of the ongoing need for reparations, specifically relating to a nexus of historically induced structural and systemic injustice. The article calls for the comprehensive and continuous participation of victims and their organizations to close the reparations gap.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.242
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
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 head0.010
GPT teacher head0.267
Teacher spread0.256 · 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