Becoming ‘Authentic’ Indian women: displacement, home, and identity among women of the Indian diaspora in the USA
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper analyzes interviews with 25 immigrant Indian women in the USA, most of whom arrived during the 1980s. Combining data from in-depth interviews of eight of these women from a cultural psychological study and interviews of 17 immigrant Indian women from the Indiana University Oral History Research Center, I use qualitative analysis within the grounded theory approach to offer insights into their lives in the USA. Six themes emerged from their narratives: the move to the USA (‘the shift’) and their feeling of displacement; experiences with religious and racial discrimination; their roles as cultural and national ambassadors for India; employment; marriage; and identity dilemmas. Adding to the literature that eschews hegemonic Western analytical categories to actively consider the perspectives of the participants themselves, I render a nuanced portrayal of the women’s experiences as they actively synthesize a new ‘authentic’ Indianness for themselves and their families while navigating the melancholia of loss, separation, and exclusion.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it