<p>Childhood Maltreatment, Negative Self-Referential Processing, and Depressive Symptoms During Stress</p>
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
INTRODUCTION: Researchers have documented that the impact of childhood maltreatment on later symptoms of depression differs depending on the type(s) of maltreatment experienced, with emotional abuse and neglect being more likely than other forms of childhood maltreatment to increase the risk for depression. It is possible that emotional abuse and neglect are more likely to increase the risk for depression because they promote the development of negative self-referential processing (SRP), but this has not yet been tested empirically. The current study was designed to examine whether negative SRP mediated the association between different forms of childhood maltreatment and symptoms of depression during a time of stress. METHODS: We assessed the experience of different forms of childhood maltreatment (ie, emotional neglect, physical neglect, emotional abuse, physical abuse, and sexual abuse) and negatively biased self-schemas early on in the university semester, among a sample of undergraduate students. We then assessed levels of depressive symptoms 2 months later during a naturalistic stressor (ie, university students' first final exams). RESULTS: As expected, negative SRP mediated the relation between both neglect and emotional abuse, but not physical and sexual abuse, and later symptoms of depression. DISCUSSION: This is the first study to examine SRP as a mechanism underlying the association between forms of childhood maltreatment and symptoms of depression during a time of stress. Results suggest that the development of negative SRP biases may explain why some types of childhood maltreatment are more likely than others to increase an individual's risk for depression during stressful developmental periods.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it