Differential Responses of Independent and Interdependent People to Social Exclusion
Bibliographic record
Abstract
To what extent is a person’s interpersonal network mustered after social exclusion? This was investigated inrelation to self-construal: independent, or interdependent. We conducted two quasi-experimental questionnairestudies of university students (Study 1; N = 57, Study 2; N = 78). Results indicated that interdependent studentslowered identification with their academic departments after remembering a time when they were sociallyexcluded (Study 1). Their self-worth was also more highly contingent on relational harmony in the whole of theirinterpersonal networks (Study 2). In contrast, independent students did not exhibit these patterns. These resultssuggest that social exclusion caused interdependent (not independent) individuals make attempts to secure andvalue their entire networks, due to the possibility that such specific identification might actually serve to limitpossible interpersonal networks (boundary effect). It is concluded that independent and interdependent studentsevidence dissimilar responses to social exclusion. The implications of this finding are discussed.
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How this classification was reachedexpand
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) | 0.002 | 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 teacher head, 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".