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Record W2991782645 · doi:10.7202/1068731ar

State-Centric Approach to Human Rights: Exploring Human Obligations

2020· article· en· W2991782645 on OpenAlexvenueno aff
Anumeha Mishra

Bibliographic record

VenueRevue québécoise de droit international · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsState (computer science)AutonomyInternational human rights lawFundamental rightsPolitical scienceLaw and economicsRight to propertyReservation of rightsLawSociologyComputer science

Abstract

fetched live from OpenAlex

The conventional wisdom of rights as a limitation on the power of the State is a product of an archaic understanding that presumed the State is the only entity capable of infringing human rights. With the increased involvement of non-State entities in functions that were erstwhile reserved to the State, we need to re-examine this State-centric approach. The international community is already challenging this State-oriented liberal rights framework. Including individual obligations within the human rights discourse is an outcome of the conflict between the ‘liberal theory of rights’ that emphasizes individual autonomy, and the social democracy theory, that calls for regulating private conduct to strengthen implementation of rights. This article contextualizes the feasibility of including such individual obligations within the human rights discourse, especially in a world where private conduct equally impacts the actualization of rights.

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)0.005
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 score0.012
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0060.053
Scholarly communication0.0100.013
Open science0.0020.006
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.060
GPT teacher head0.296
Teacher spread0.236 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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Same venueRevue québécoise de droit internationalSame topicInternational Law and Human RightsFrench-language works237,207