When “who we are” and “who I desire to be” appear disconnected: Introducing collective/personal self‐discrepancies and investigating their relations with minority students' psychological health
Bibliographic record
Abstract
Abstract According to Self‐Discrepancy Theory research, perceiving mismatches between personal aspects of the self‐concept is associated with negative psychological consequences, including depression and anxiety. However, the impact of perceiving mismatches between collective and personal self‐aspects is still unknown. In a first step to address this gap, we introduce collective/personal self‐discrepancies—perceived mismatches between a desired self‐aspect and a collective identity. For cultural minority group members ( n = 147), collective/personal self‐discrepancies were associated with more severe anxiety and depression symptoms. Bootstrapping analyses suggest that these relations are mediated by self‐discrepancies experienced at the personal level, but only for group members presenting average or high levels of ethnic identification. This study reaffirms the importance of collective identities, especially as potential antecedents of personal aspects of the self‐concept. The findings are further discussed in terms of their significance for cultural minority group members, who often highly identify with their minority groups.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".