It's Not Me, It's You: Self- and Partner-Schemas, Depressive Symptoms, and Relationship Quality
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
Depression is associated with a host of interpersonal difficulties, particularly within intimate relationships. Although a significant body of literature has supported the presence of a highly consolidated negative self-representation or self-schema, no studies have examined whether depression is also associated with a highly organized negative “partner-schema”, and whether this represents a risk factor for relationship distress. Given the high degree of similarity between cognitive representations of self and close others, it was predicted that depression would be associated with a partner-schema structure mirroring that of the self-schema: an organized cognitive structure characterized by tightly interconnected negative information, and loosely dispersed positive information. In a sample of 291 undergraduate students, results supported this hypothesis. The findings also revealed that partner-schema structure was associated with relationship quality and attributions about a partner's behaviors over and above self-schema structure. These findings have important implications for understanding the link between cognitive risk factors, relational dysfunction, and depressive symptoms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it