Implicit theories of depression and depression severity influence endorsement of lifestyle changes and therapies for depression
Bibliographic record
Abstract
Implicit theories refer to the extent to which an attribute of self is viewed as changeable (Dweck, 1999). Individuals who have an entity theory, or a fixed mindset, of depression believe that depression cannot change. Conversely, those who have an incremental theory, or a growth mindset, of depression believe that depression can change. The current study (N = 235) investigated whether implicit theories of depression are predictive of depression severity in undergraduate students. Results showed that a growth mindset of depression, being male, and endorsing lifestyle changes for depression were predictive of lower depression severity. Understanding implicit theories of depression may improve therapeutic outcomes. If individuals are led to view depression as changeable prior to therapy, they may be more likely to believe that therapy can improve depression. Therefore, such a treatment component may be associated with increased therapeutic engagement and enhanced therapeutic outcome. Discipline: Statistics Faculty Mentor: Dr. Karen Buro
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".