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Record W4411324590 · doi:10.53762/k6qspr59

10.53762/k6qspr59

2000· article· en· W4411324590 on OpenAlexvenueno aff
Samreena Gulzar, Aqsa Tasgheer

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicHalal products and consumer behavior
Canadian institutionsnot available
Fundersnot available
KeywordsIslamSustainabilityPerspective (graphical)Environmental ethicsEnvironmental planningEnvironmental lawEnvironmental resource managementPolitical scienceEnvironmental scienceGeographyEcologyComputer sciencePhilosophyBiologyLaw

Abstract

fetched live from OpenAlex

Animals’ protection is crucial for environmental stability and sustainability. Animals are the sign of magnificence and benevolence of Allah Almighty. The divine teachings of Islam provide a complete code for the welfare and protection of animals. Today the world has recognized the need for animals’ protection to maintain ecological balance. The ecological scientist has laid stress on animal rights and there is a great debate over the basic rights and liberties of animals. In the last few decades, humans have made great tremendous achievements in providing legal rights and protection to animals such as the “Universal Declaration on Animal Welfare”. The roots of recent animals protection and welfare paradigms can be traced back to Islamic injunctions provided 1400 years ago. Though man has subjugated animals still he is not authorized to do anything to animals. Environmental equilibrium will be damaged if animals are extinct as they are a part of the genesis pyramid. Islamic sacred scripture provides privileges and protection to animals. According to Islam, animals’ manipulation by man must be lawful as he will be accountable for that. In the contemporary world, there exist diverse legislation, practices, and concerns regarding animals’ protection and rights. Highlighting some of these legislations, practices, and concerns, this article will provide an overview of Islamic teachings regarding animal protection and welfare that is much needed for biosafety today.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.937
Threshold uncertainty score0.260

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.9970.985

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 head0.013
GPT teacher head0.239
Teacher spread0.227 · 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 designNot applicable
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

Citations1
Published2000
Admission routes1
Has abstractyes

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