“Sshh…!! Don’t Tell My Parents”: Dating among Second-Generation Patels in Florida
Bibliographic record
Abstract
This article examines how second-generation Patel women and men navigate dating in the context of their bicultural identities as Indian-Americans, and the gender structures of the Patel community in Florida. It finds that second generation Patel women and men reject alike their parents’ perception of dating as non-Indian behavior and the American perception of dating as healthy fun. Rather, Patel women and men have reconceptualized dating in a manner that appeals to their identities as Indian-Americans. Accordingly, dating for them is not only a means of exploring their preferences in intimate partnering, but must necessarily have an end goal binding it - namely marriage. Gender structures within the Patel community create differential dating experiences for Patel women and men. In response, Patel women and men have devised strategies in their dating behaviors evinced in their partner selections, age at onset of dating, their employing of secrecy in dating, and utilizing particular semantics of dating.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".