MétaCan
Menu
Back to cohort
Record W4391659200 · doi:10.32920/25193483

Negotiations of Identity Among Alevi Immigrants in the Post-9/11 Context: Transnational Perspectives

2024· preprint· en· W4391659200 on OpenAlexaff
Senem Karaceper

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicTurkey's Politics and Society
Canadian institutionsMcMaster UniversityToronto Metropolitan University
Fundersnot available
KeywordsIdentity (music)NegotiationTransnationalismSettlement (finance)IslamContext (archaeology)ImmigrationGender studiesIdentity negotiationSociologyPoliticsPolitical scienceSocial scienceGeographyLawAestheticsArchaeology

Abstract

fetched live from OpenAlex

This research examines identity formation and negotiation of the ethno-religious Islamic subgroup of Alevis. Particularly, this research suggests the 1960s is when Alevi immigrants began to migrate to Western countries and form diasporic communities. With the usage of a qualitative literature review and through the frameworks of post-modern identity theory, endorsed by Stuart Hall, and transnationalism, this major research paper seeks to understand how a transnational identity can create new meanings and configurations. The Alevi identity has been built upon historical marginalization and has travelled from Turkey into new settlement societies where new meanings of identity have emerged, which is entirely dependent on the social and political contexts. Considering the post-9/11 framework, this research concludes that it is imperative to situate Alevi immigrants in their rightful transnational political and social context to understand identity negotiation.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.010
Scholarly communication0.0110.004
Open science0.0010.007
Research integrity0.0020.003
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 head0.021
GPT teacher head0.332
Teacher spread0.311 · 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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicTurkey's Politics and SocietyFrench-language works237,207