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Record W4206225080 · doi:10.5617/jais.9376

Moral Value and Commercial Gain

2022· article· en· W4206225080 on OpenAlexafffund
Omar Farahat

Bibliographic record

VenueJournal of Arabic and Islamic Studies · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsMcGill University
FundersFonds de Recherche du Québec-Société et CultureMcGill University
KeywordsHarmValue (mathematics)ScholarshipIslamLaw and economicsSociologyEconomic JusticeLawBalance (ability)Moral psychologyEnvironmental ethicsPositive economicsEpistemologyPolitical sciencePsychologyEconomicsPhilosophy

Abstract

fetched live from OpenAlex

This paper presents three theoretical accounts developed to assess the moral value and legal status of acts designed to promote commercial gain in the thought of major classical Muslim scholars. There has been an increased interest in Islamic commercial law and ethics in recent years. Much of the recent scholarship consists of practically inclined studies that tend to lump the Islamic tradition of evaluation of commerce under the principles of social justice and avoidance of harm. Our study of three selected scholars will reveal distinct approaches that are characteristic of classical Islamic ethical discussions: anchoring moral value in this world, attributing moral goodness to salvation in the next world, and finding a balance between these two approaches. Counterintuitively, we will see that the naturalistic view that ascribes moral values to things and actions was the most restrictive, whereas the dualistic model that focuses on salvation in the next world was markedly more permissive of commercial transactions.

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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.027
GPT teacher head0.249
Teacher spread0.222 · 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 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

Citations1
Published2022
Admission routes2
Has abstractyes

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