Choosing Love Over Tradition: Lived Experiences of Asian Indian Marriages
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
Personal choice marriages, commonly called love marriages, are a phenomenon that have historically been grounded in individualistic values and Western societies; thus, arranged marriages are still a common practice in non-Western countries such as India. The primary purpose of this qualitative phenomenological study was to better understand the shared lived experience of Indian couples in love marriages, both those in India and those who have emigrated abroad. Sixteen individuals were interviewed for this study in India ( n = 10, representing five heterosexual couples) or the United States ( n = 6, representing three heterosexual couples). Through thematic analysis, three themes were found to represent the primary lived experiences of couples residing in India and in the United States. Based upon these themes, specific implications for professional counselors are highlighted.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it