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Record W4205155731 · doi:10.26443/firr.v9i2.20

Human Rights: A Cross-Cultural Conception

2019· article· en· W4205155731 on OpenAlexvenueno aff
Lily Jemima Redpath

Bibliographic record

VenueFlux International Relations Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsPoliticsConstructivePluralism (philosophy)SociologyCriticismFundamental rightsLawLaw and economicsPolitical scienceEpistemologyEnvironmental ethicsPhilosophy

Abstract

fetched live from OpenAlex

On examining the political theories of John Rawls and Charles Beitz, this paper is a product of the perceived disparities between the idealism of human rights theory and the socio-political failures of the real-time human rights corpus. With both theorists serving as the moral and theoretical foundations of the discourse, the loci of their arguments will be presented and dissected in light of contemporary political attitudes. This paper aims to scrutinise the human rights discourse through the lens I believe to be its most damaging: cultural pluralism and a simultaneous tendency toward (neo)-imperialist attitudes. Moreover, with the current literature failing to provide adequately constructive answers, I have endeavoured to present a compelling commentary on where I believe the necessitating changes lie culturally, attitudinally, and politically. In preserving and upholding the Universal Declaration of Human Rights as a productive and morally beneficial basis on which to ground this commentary, this paper assumes ‘human rights’ to refer to the articles enshrined in this United Nations’ document. This conception and the attitudes and actions surrounding it have nonetheless incurred significant and warranted criticism, consideration of which prompted the proposed conception that human rights be defined politically as rights to choose.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.828
Threshold uncertainty score0.948

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1110.053

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 head0.075
GPT teacher head0.451
Teacher spread0.376 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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