Pathways to intrusive memories in a trauma analogue paradigm: a structural equation model
Bibliographic record
Abstract
BACKGROUND: Structural equation modeling was used to develop and test an integrated model of how emotional and cognitive factors contribute to the development of intrusive memories after a distressing event. METHODS: The emotional constructs included preexisting emotion and emotional reactivity to the distressing event. Cognitive constructs included peritraumatic cognitive processing and maladaptive coping strategies. RESULTS: Using a prospective design, 148 undergraduate students viewed a distressing film and recorded their film-related intrusive memories over the following week. RESULTS: The results indicated that emotional reactivity and, to a lesser extent, preexisting emotion, predicted peritraumatic cognitive processing during the film, which in turn predicted the use of maladaptive coping strategies (i.e., rumination, thought suppression, and safety behaviors). Furthermore, emotional reactivity and maladaptive coping strategies directly predicted intrusive memories. CONCLUSIONS: The observed model supported the importance of cognitive variables central to cognitive models, placing them in a broader context.
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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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".