Negotiations of Identity Among Alevi Immigrants in the Post-9/11 Context: Transnational Perspectives
Bibliographic record
Abstract
<p>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.</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".