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Record W2810364669 · doi:10.15273/jue.v8i1.8612

Sameness and Difference: Asserting Cultural Identity Through Multicultural Experience and Negotiation

2018· article· en· W2810364669 on OpenAlexvenueno aff
Sarah I. Han

Bibliographic record

VenueJournal for Undergraduate Ethnography · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismGender studiesSociologyNationalismEthnic groupEthnic nationalismContext (archaeology)Political sciencePoliticsLawAnthropology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.085
GPT teacher head0.403
Teacher spread0.318 · 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 teacher head, not a consensus.

Study designObservational
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
Published2018
Admission routes1
Has abstractyes

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