Psychological Adjustment, Coping, and Emotion Regulation as Predictors of Posttraumatic Growth
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
Abstract The present study examined factors contributing to reported benefits of traumatic experiences or posttraumatic growth (PTG) in a college sample. Specifically, we examined dimensions typically associated with trauma recovery (i.e., psychological functioning, coping, emotion regulation) and features of the trauma (i.e., number and recency of traumatic events, average, and maximal distress). Participants (N= 193) completed standardized questionnaires measuring these constructs. Results indicated that active coping and subjective well-being independently contributed to PTG, but social desirability and symptom distress were independent of growth. These results were consistent with study expectations. Although not specifically predicted, maximal trauma distress also uniquely predicted PTG. Contrary to expectations, effective emotion regulation did not contribute to PTG.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it