Sameness and Difference: Asserting Cultural Identity Through Multicultural Experience and Negotiation
Bibliographic record
Abstract
Multiculturalism “seeks to use cultural diversity as a basis for challenging, revising, and relativizing basic notions and principles common to dominant and minority cultures alike” (Turner 1993, 413). This paper explores the assertion of ethnic minority Baloch women’s cultural identity through the lenses of marriage, nationalism, and education. Drawing on linguistic analysis, it shows that Baloch women in Al Ain construct their multicultural identity by navigating between the structures of tradition and personal agency: they replace kin endogamy with marriage with those who are culturally similar; develop a sense of nationalism that negotiates between their country of origin and their country of adoption, regardless of their citizenship; and pursue complex paths involving education and marriage among the opportunities presented by family and state support. The displaced Baloch community in the United Arab Emirates, underrepresented in academic research, contributes uniquely to conversations of multiculturalism, ethnic minorities, nationalism, and gender in the Middle East, a non-white, Muslim-majority context, with implications for global mass movements of refugees, women’s rights, and ethnic and racial minorities.
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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 | 0.020 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.023 | 0.071 |
| Scholarly communication | 0.021 | 0.022 |
| Open science | 0.003 | 0.030 |
| Research integrity | 0.004 | 0.006 |
| 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".