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Record W2497145668 · doi:10.5539/jpl.v9n7p43

Distributive Justice and the Fundamental Human Rights (Focusing on Rights to Healthy Environment)

2016· article· en· W2497145668 on OpenAlexvenueno aff
Hassan Khosravi, Mojtaba Babaee

Bibliographic record

VenueJournal of Politics and Law · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsInjusticeDistributive justiceHuman rightsLaw and economicsFundamental rightsEconomic JusticeRedistribution (election)Political scienceSociologyGenerosityBalance (ability)LawEnvironmental ethicsPoliticsPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Justice is the ideal of human social life which can bestow the society order and stability and open up the way of sublimity. Resorting to the justice mechanisms, a peaceful collective community together with balance and equilibrium of different interests and conflicting wills become possible. Here the issue is the establishment of role of distributive justice in balance of general affairs of society along with acceptance of the notion of equal distribution of facilities, resources, rights and wealth among all people without any bias and prejudice and just because of intrinsic generosity of human kind in the first place, and establishment of the system of redistribution of resources for removing any practical injustice in society in the second place. Applying such theory has a direct relation with the preserving of the fundamental human rights through which the rights are distributed according to the being human and capabilities and virtues within a fair competition and in this way the threats to the fundamental human rights are decreased. The right of keeping a healthy environment can also be guaranteed under this theory.

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)0.004
metaresearch head score (Gemma)0.003
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 score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.046
Scholarly communication0.0070.007
Open science0.0010.004
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.016
GPT teacher head0.307
Teacher spread0.291 · 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
Published2016
Admission routes1
Has abstractyes

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