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Record W4312155289 · doi:10.1017/bhj.2022.35

Localizing the UNGPs – An Afrocentric Approach to Interpreting Pillar II

2022· article· en· W4312155289 on OpenAlex
Akinwumi Ogunranti

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

VenueBusiness and Human Rights Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican cultural and philosophical studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCognitive reframingNorm (philosophy)PillarHuman rightsInterpretation (philosophy)SociologyNormativeEpistemologyEnvironmental ethicsPolitical scienceLaw and economicsLawSocial psychologyComputer sciencePsychologyPhilosophyEngineering

Abstract

fetched live from OpenAlex

Abstract This paper presents an alternative epistemic worldview of the corporate responsibility to respect human rights (CR2R) as a norm. It examines how an Afrocentric interpretation of the CR2R norm can contribute to a relational system where corporations promote human rights in African host communities. It uses an African norm — Ubuntu — to reframe and reinterpret Pillar II in Afrocentric terms. It argues that this reframing is important for three reasons. First, Ubuntu reframing increases the CR2R norm’s intelligibility in Africa because it clarifies and contextualizes the term ‘respect’ used in Pillar II. Second, reframing the CR2R norm through Ubuntu fills the ethical gap in the interpretation of the CR2Rnorm. Third, an Ubuntu-inspired interpretation insulates the CR2R norm from some scholars’ critique that the CR2R norm’s scope is narrow because it only encourages MNCs to avoid infringing on the human rights of others without prescribing positive obligations. This paper then examines channels through which Ubuntu can influence the CR2R norm.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.864
Threshold uncertainty score0.981

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 studies0.0200.000
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 head0.041
GPT teacher head0.286
Teacher spread0.245 · 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