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Record W2293027742 · doi:10.5539/jpl.v9n4p1

Re-visiting the Concept of Mens Rea: Challenging the Common Approaches Employed under Islamic Jurisprudence and Statute Law

2016· article· en· W2293027742 on OpenAlexvenueno aff
Fatemeh Ahadi

Bibliographic record

VenueJournal of Politics and Law · 2016
Typearticle
Languageen
FieldNeuroscience
TopicFree Will and Agency
Canadian institutionsnot available
Fundersnot available
KeywordsMens reaJurisprudenceCriminal lawLawStatuteCommon lawPolitical scienceLaw and economicsSociology

Abstract

fetched live from OpenAlex

In the present paper the traditional and customary perspectives on the concept of Mens Rea are challenged and a new definition of the same is put forward. The challenge is based on the idea that the concepts in criminal law need evolution in order to keep their function and practicality. Such an evolution demands such a condition wherein, while granting the characteristics of adaptability with the contextual conditions and principles of criminal law, the maintenance of the same is ensured. The mens rea is customarily defined as ‘culpable state of mind of the accused when committing an offence under criminal law and ‘rebellion intent’ under Islamic Jurisprudence. Both definitions of the concept have the capability to undergo evolution and, thus, a new definition of the same is envisaged herein as such that the mens rea constitutes ‘the culpable linkage of mind with the forbidden conduct’. Two changes are observable in the new definition compared with the existing one: first, the ‘state of mind’ is replaced with ‘linkage of mind’; second, the interpretation of the term ‘culpable’ as an independent constituent shall differ as per the common sense and the contextual conditions. The new definition grants dynamism to the concept and resolves the problems long associated with the definition of the mens rea under the criminal law.

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)0.011
metaresearch head score (Gemma)0.008
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 score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.078
Scholarly communication0.0100.015
Open science0.0020.007
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0020.001

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 head0.058
GPT teacher head0.277
Teacher spread0.219 · 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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