Bridging Caste Divides: Middle‐Status Ambivalence, Elite Closure, and Lower‐Status Social Withdrawal
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Network theory and research have identified the powerful dynamic of homophily whereby individuals are more likely to connect with similar rather than dissimilar others. However, less is known about when individuals might connect with dissimilar others to enhance organizational diversity benefits and mitigate social exclusion. This study builds upon prior evidence linking homophily to both elite group closure and lower‐status self‐segregating social withdrawal to propose a new dynamic of middle‐status ambivalence toward homophily, generating a greater propensity toward diversity. Indian society offers a unique context of a legally codified, stable, three‐tiered status hierarchy to test the idea that middle‐status individuals will develop the most diverse networks. Using a unique longitudinal friendship network dataset, we find empirical support for our prediction, a novel contribution extending classic homophily theory. In addition, due to potent status dynamics we theorize and find that lowest‐status group members initiate more ties over time but also exhibit lower tie stability and greater losses of early ties than higher‐status group members, resulting in the appearance of lowest‐status group homophilous withdrawal. Overall, we advance homophily theory and offer practical suggestions for organizations seeking to enhance social ties across diversity and improve the effectiveness of social inclusion policies.
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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 | 0.001 | 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 | 0.001 | 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) | 0.000 | 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