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Record W4220911915 · doi:10.1163/17087384-bja10063

A Future of Justice Inclusion: Examining Access to Justice in South Africa through the ‘Ethic of Care’ and ‘Complexity’

2022· article· en· W4220911915 on OpenAlexvenueno aff
Jackie Nagtegaal, Yvonne Jooste

Bibliographic record

VenueAfrican Journal of Legal Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsnot available
Fundersnot available
KeywordsConcretenessEconomic JusticeInclusion (mineral)SociologyEnvironmental ethicsLawPolitical scienceSocial science

Abstract

fetched live from OpenAlex

Abstract In South Africa, a number of obstructions exist to realising the right to access to justice as enshrined by section 34 of the South African constitution. Globally, many countries grapple with access to justice due to a number of multi-layered and complex causes. This article explores traces, connections, definitions and perceptions related to access to justice so as to allow for a deeper understanding of persisting justice problems. It employs a multi-disciplinary approach that examines worldviews on access to justice in South Africa through the lens of what Sohail Inayatullah terms ‘other ways of knowing’. These worldviews are also considered through the framework of the ‘ethic of care’ as formulated by Carol Gilligan and connected to the notion of ‘complexity’ as understood by Yvonne Malan and Paul Cilliers. The worldviews explored represent ‘different voices’ that discloses a possibility for a future of justice inclusion. The article calls for a people-centred approach to access of justice, underpinned by notions of humility, complexity, concreteness, and particularity.

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)0.007
metaresearch head score (Gemma)0.009
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 score0.022
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0130.038
Scholarly communication0.0100.017
Open science0.0010.013
Research integrity0.0020.004
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 head0.129
GPT teacher head0.389
Teacher spread0.261 · 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
Published2022
Admission routes1
Has abstractyes

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