Diaspora and Multiculturalism in Reconstructing the Cultural Identity of Arabs in America
Bibliographic record
Abstract
Diaspora and multiculturalism have been playing an important role in reconstructing the cultural identity of Arab immigrants in America. This paper attempts to highlight the roots, values and beliefs of Arab culture and explores how Arabs understand their culture and identity. The significance of the study is to draw attention to the original culture of Arabs and understanding the religious, cultural and social influences on the lives of Arabs in America. It attempts to take a deep dive into their culture, daily life, customs and traditions and highlights the issues that negatively cause the cultural perplexity among Arab-Americans from a socio-political perspective. Additionally, it sheds light on the history of the Arab immigration to the United States and hardly brings together essential efforts to present an important description of Arab culture for the reader, mainly for those who are non-Arabs, to know more about Arabs. Moreover, another focus of this study is to bring a space for an Arab culture in the multicultural communities and have a closer scrutiny on the historical background of Arab-American culture and identity. Finally, the paper aims at focusing on a role made by the western hegemonic discourse in redefining Arabs and their culture in America.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".