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Record W4414097066 · doi:10.31579/2690-4861/908

Middle East’s States Immigration and Labour Policies

2025· article· en· W4414097066 on OpenAlexaff
Mahmood Fakri

Bibliographic record

VenueInternational Journal of Clinical Case Reports and Reviews · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsImmigrationEnforcementState (computer science)Social securityHuman rightsCivil societyImmigration policyImmigration lawLabour law

Abstract

fetched live from OpenAlex

This essay explores the immigration and labour policies of Middle Eastern states, particularly within the Gulf Cooperation Council (GCC), and their detrimental effects on the rights and human security of migrant workers and refugees. It argues that these policies prioritize economic utility over humanitarian concerns, resulting in systemic exploitation, poor working conditions, and limited access to legal protections and social services. The analysis highlights the role of both state and non-state actors in perpetuating these issues, with special attention to the Kafala sponsorship system, gender-based vulnerabilities, and the exclusionary stance toward refugees. The essay concludes by recommending comprehensive reforms, including abolishing the Kafala system, enhancing labour laws and enforcement mechanisms, improving recruitment practices, and promoting social inclusion. Emphasis is placed on accountability, legal empowerment, and collaboration among governments, employers, and civil society to create a more just and sustainable framework for migration in the region.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.121
GPT teacher head0.461
Teacher spread0.339 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

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