Different epistemic stances for different traumatic experiences: implications for mentalization
Bibliographic record
Abstract
Traumatic experiences may impair reflective functioning (RF), making it difficult for individuals to understand their own and others' mental states. Epistemic trust (ET), which enables evaluating social information as reliable and relevant, may vary in association with RF. In this study, we explored the implications of different ET stances (i.e., trust, mistrust, and credulity) in the relation between different childhood traumatic experiences (i.e., emotional abuse, physical abuse, sexual abuse, emotional neglect, and physical neglect) and different types of RF impairments (uncertainty and certainty about mental states). A non-clinical community sample of 496 cisgender emerging adults (mage = 24.91, standard deviation = 2.66, 71.85% assigned female at birth, 63.63% heterosexual) reported on their childhood traumatic experiences, ET, and RF. We used structural equation models to examine direct and indirect associations. The results showed significant indirect effects between emotional abuse and uncertainty about mental states through credibility. We also observed significant indirect effects between emotional abuse and certainty about mental states through mistrust and credibility. The findings suggest that a lack of discrimination when evaluating knowledge from others (i.e., credulity) might promote increased uncertainty in RF when emerging adults have experienced emotional abuse in their childhood. Conversely, a tendency to view all information sources as unreliable or ill-intentioned (i.e., mistrust) may foster greater certainty in RF as a protective mechanism against an unreliable and potentially harmful world when combined with childhood emotional abuse. The implications for clinical practice and intervention are discussed.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".