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Record W3132355504 · doi:10.36953/ecj.2015.se1621

The foundations of environment in Quran with a review of seven United Nations Conferences on the environment

2015· review· en· W3132355504 on OpenAlexaboutno aff
Mahmoud Rostami Tabar, Seyed Mohammad Shobeiri

Bibliographic record

VenueEnvironment Conservation Journal · 2015
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsStatement (logic)Quarter (Canadian coin)PopulationEnvironmental ethicsEnvironmental degradationPolitical scienceRelation (database)Social scienceSociologyEngineering ethicsPublic relationsGeographyLawEngineeringEcologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Although scientists have felt the dangers of environmental degradation from a long time ago and were sure about its’ adverse consequences and the need to change human behavior towards the only livable plant, But in the past four decades have taken practical steps through numerous international and Inter-governmental conferences and sometimes implementation of their decisions. Meanwhile, Quran as the holy book of Muslims with a quarter of the global population, has refered to fundamental issues in relation to the environment, human and creation of the universe, that could be the basis of different environmental policies in the Muslim world and can be used as the agenda for their representatives in these communities. The purpose of this paper is to get acquainted with environmental concepts in the Quran and adapting them with seven international environmental conferences since 1972. Research method is descriptive and documental analytical referring to the final statement of conferences and searchig Quran and based on the authentic interpretations of texts and translations with deductive approach.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.952
Threshold uncertainty score0.704

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.066
GPT teacher head0.266
Teacher spread0.200 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2015
Admission routes1
Has abstractyes

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