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Record W1643039212 · doi:10.5539/ass.v11n21p28

Certain Issues of Human Rights’ International Legal Regulation and Ways of Their Solution

2015· article· en· W1643039212 on OpenAlexvenueno aff
Viatcheslav Gavrilov

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsInternational lawCultural relativismLawUniversalismInternational human rights lawPolitical scienceInternational communityCultural rightsSociologyLaw and economics

Abstract

fetched live from OpenAlex

Nowadays, the universal nature of main international treaties on human rights is being called into question by certain countries with increasing frequency. At present time, representatives of some Asian, African and Near Eastern countries state that the contemporary international law of human rights is more oriented to Western countries, which had accepted Christian religion values and extensively fell under the influence of Roman law. This point of view is worth noticing, despite the fact that Western scholars and experts permanently assert that the international law as a whole and the law of human rights in particular are not a product of the West only, but are a global one. This paper is devoted to searching for an answer to the question of to what extent positions of the both parties have been proved and what the international community should do to find a common ground between the opposite camps in this issue. It also determines the nature and peculiarities of the International Law of Human Rights as part of the universal international legal system, reveals the merits and defects of “Universalism” and “Cultural Relativism” conceptions and shows that the effective implementation of international legal norms on human rights is impossible without taking into consideration the peculiarities of historical and cultural development as well as ethnical structure of different countries, which determine specific character and content of national archetypes of the attitude to the law.

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)0.019
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0050.044
Scholarly communication0.0160.017
Open science0.0020.005
Research integrity0.0110.012
Insufficient payload (model declined to judge)0.0060.001

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 head0.049
GPT teacher head0.335
Teacher spread0.286 · 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 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

Citations0
Published2015
Admission routes1
Has abstractyes

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