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Record W2610885289 · doi:10.22329/wyaj.v33i3.4885

PRAXIS AND THE INTERNATIONAL (HUMAN RIGHTS) LAW SCHOLAR: TOWARD THE INTENSIFICATION OF TWAILIAN DRAMATURGY

2017· article· en· W2610885289 on OpenAlexaffvenue
Obiora Chinedu Okafor

Bibliographic record

VenueWindsor Yearbook of Access to Justice · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsYork University
Fundersnot available
KeywordsPraxisHuman rightsPoliticsSubalternNormativeSociologyContext (archaeology)International lawPolitical scienceLawEpistemologyEnvironmental ethicsPhilosophy

Abstract

fetched live from OpenAlex

The article critically reflects on the role of the TWAILian international (human rights) law scholar in the socio-economic and political struggles which take place outside the academe; focusing, for the most part, on our role as scholars in advancing struggles in favour of subaltern Third World peoples from within or in concert with international institutions and various kinds of what I will refer to in this paper as “on-the-ground” activist groups (such as social movements and NGOs). The article begins by examining some of the various ideas and conceptions of praxis, so as to be clear from the outset as to the sense in which that key term is used in this context. The question of the ends or goals for which we do praxis is also discussed at this point. The discussion then moves on to the important question of what it means to enact TWAIL praxis and to do so within or in relation to international institutions or “on-the-ground” groups, and a conceptual/normative framework for such activity is offered. The paper then focuses on a relatively brief analysis of some of the experiences that the author has had as a TWAILian international (human rights) law scholar who has also been closely engaged in some way with international institutions and on-the-ground groups. Following this, a reflection on the promise and perils of such close engagement with this kind of praxis is offered. The article ends with some concluding remarks.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.818
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.053
GPT teacher head0.367
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations4
Published2017
Admission routes2
Has abstractyes

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