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Shi‘i Communities and Networks in North America

2023· reference-entry· en· W4388865693 on OpenAlexaff
Liyakat Takim

Bibliographic record

VenueOxford Research Encyclopedia of Religion · 2023
Typereference-entry
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsEthnic groupDiasporaKinshipPoliticsGenealogySociologyHistoryPolitical scienceAnthropologyGender studiesLaw

Abstract

fetched live from OpenAlex

Abstract The need for a centralized leadership (called marja‘iyya) that could furnish the religious, social, and financial demands of the Shi‘i community first emerged in the late 19th century. With time, the marja‘iyya has evolved into an institution that has engendered a sense of affinity and loyalty between a marja‘ (religious guide) and his followers. In recent times, the maraji‘ have sensed the need to provide for the social and religious needs of the community in the North American diaspora. Consequently, the maraji‘ have reached out to their followers in the West through social media, the Internet, and other modes of communication that propagate their distinctive teachings. The presence of followers in North America has also required the maraji‘ to deduce new rulings and, at times, to reinterpret the Islamic sources in order to respond to religious issues raised by the Shi‘is residing in a non-Muslim milieu. The maraji‘ exert influence in far-flung areas through agents who act as their intermediaries with the laity. It is through the networks established, whether in the religious, political, or social fields, that they are able to connect with their followers. The transnational nature of Shi‘ism means that the community encompasses different cultural and ethnic backgrounds. The ethnicity of a group is contingent on the beliefs and practices that distinguish it from the dominant culture. Other distinguishing factors include language, distinctive clothing and other products, acceptable demeanor, and attachment to the ethnic community. Ethnic markers of a community become visible as more people migrate from their home countries and the processes of self-identification, self-differentiation, and separation from others begin to express themselves. Boundaries of separation are constructed and expressed in many ways, especially in the form of institutions based on ethnic considerations. In the diaspora, Shi‘i communities often fragment based on their homeland culture. Since the events of September 2001, some community members in North America have established privately run national organizations. The Universal Muslim Association of America (UMAA), which was founded in 2003, holds annual conferences and seeks to foster unity within the Shi‘i community. Among UMAA’s stated aims are to encourage dialogue among North American Shi‘i Muslims. UMAA also seeks to advance the community’s political, social, economic, and religious goals and participate in civic responsibilities. Another important North American Shi‘i institution is the Muslim Congress. It was established in 2005, and, according to its website, it aims to promote and propagate “the true teachings of Islam as guided by the Holy Prophet and his purified progeny.” Existence in North America has compelled the Shi‘i community to seek a proper response to the new pluralistic environment. Globalization and improved modes of communications have led the maraji‘ to play active roles in North America. Due to the social media and advanced technology, the religious leadership is able to permeate the lives of American Shi‘is more closely.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.851
Threshold uncertainty score0.297

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.002
Scholarly communication0.0020.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.067
GPT teacher head0.355
Teacher spread0.287 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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