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Record W4365145851 · doi:10.5539/jpl.v16n2p23

An Alternative to the Use of Force in International Law and Arab-Islamic Sulh for the Yemen Armed Conflict

2023· article· en· W4365145851 on OpenAlexvenueno aff
Abdullah Al Dosari, Mary Ann George

Bibliographic record

VenueJournal of Politics and Law · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsIslamPoliticsConflict resolutionVitalityPolitical scienceSettlement (finance)IndigenousSociologyPolitical economyLawHistory

Abstract

fetched live from OpenAlex

This article explores Arab-Islamic sulh (reconciliation) which is known to be rooted in religious (sectarian) and cultural dynamics, as well as tribal practices of the Arab societies. For this purpose, this article highlights the limitations of the conflict resolution approaches now in use as contextually unsuitable. It further draws attention to the continuing vitality of Arab-Islamic rituals of reconciliation sulh and identifies ways that mediators (US, UK UAE, and others) might benefit from an appraisal of such rituals. To counteract tribal experiences of disempowerment and temper the power-political undertones of the conflicts, mediators would consciously integrate principles and symbolic practices inherent in indigenous Middle Eastern reconciliation methodologies of sulh, alongside musalaha (settlement). Sulh exemplifies key Arab-Islamic cultural values that should be looked at figuratively and literally for insight into how to approach conflict resolution in the Saudi/Yemen armed conflicts. Therefore, as an alternative to the use of force, the sulh would be provisioned to leverage its capability to accommodate political interests that underpin the conflicts as well, with a view to effective resolution.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score0.435

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 studies0.0000.000
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 head0.076
GPT teacher head0.353
Teacher spread0.277 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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