The Relation of Possible Selves and Self-Concept Clarity to Generalized Anxiety Disorder
Bibliographic record
Abstract
The present study investigated the role of perceived discrepancies from the ideal, ought, and feared selves, and self-concept clarity in the context of generalized anxiety disorder (GAD). The primary aim of the study was to examine whether these self-schematic constructs could predict the severity of worry over and above other worry-related schemas such as intolerance of uncertainty (IU), negative problem orientation (NPO), positive and negative metacognitive beliefs, and negative beliefs about emotions. Individuals with probable GAD (N = 144) were recruited from Prolific and administered self-report measures of the aforementioned constructs. All self-discrepancies and self-concept clarity were associated with worry as well as worry-related schemas; self-schematic constructs were also significantly inter-related. Only positive and negative metacognitive beliefs and self-concept clarity emerged as unique correlates of worry. These findings contribute to theoretical understandings of GAD by suggesting that self-schematic constructs, particularly self-concept clarity, may play an important role in maintaining worry.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".