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Record W4220977468 · doi:10.1080/21567689.2022.2057476

Religion in the Age of Migration

2022· article· en· W4220977468 on OpenAlex
AKM Ahsan Ullah, Ahmed Shafiqul Huque, Arju Afrin Kathy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePolitics Religion & Ideology · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsMcMaster University
Fundersnot available
KeywordsIslamGroup cohesivenessConstruct (python library)PoliticsSociologyMigration studiesPolitical scienceGender studiesEnvironmental ethicsLawGeography

Abstract

fetched live from OpenAlex

There has been little research on the significance of religion in migration studies. The objective of this article is twofold: first, to explain religion as a complexly intertwined concept within migration discourses; second, to examine the implications of various terminologies such as Islamism, political Islam, and the politicization of Islam in the modern world within a broad migration framework. We have chosen 11 respondents from different countries by snow-ball technique to interview. The paper argues that religion becomes crucial to people's migratory experiences, aiming to construct a theoretically informed link between religion and migration. The study emphasizes the significance of international standards in ensuring migrants’ ‘religious rights’ in host countries. The interesting thing is that migrants bring their religious beliefs, practices, and way of life with them, enriching destination countries by exposing them to new cultures and fostering social cohesiveness via peaceful coexistence.

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.

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 score0.743
Threshold uncertainty score0.967

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 head0.020
GPT teacher head0.310
Teacher spread0.290 · 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