Fostering resilience and countering stigma: A qualitative exploration of risk and protective factors for negative psychological consequences among alcohol-involved sexual assault survivors.
Bibliographic record
Abstract
The social-ecological resilience framework posits that the development of negative psychological outcomes (NPO) following alcohol-involved sexual assault (AISA) is influenced by the interaction of sociocultural and individual risk and protective factors. AISA survivors may be particularly vulnerable to AISA stigma (e.g., victim-blaming rape myths), a sociocultural risk factor which, if internalized, may increase individual risk factors such as self-blame, low-self-compassion, and fear of self-compassion (FOSC), in turn contributing to subsequent NPO. OBJECTIVE: This qualitative study explored AISA survivors' lived experiences regarding AISA stigma, self-blame, self-compassion, and FOSC as interrelated risk and protective factors in fostering or impeding resilience. METHOD: = 25.8 years old) who survived AISA completed individual qualitative interviews that were later coded using thematic analysis. RESULTS: Analyses produced three interrelated main themes, where AISA survivors described experiencing: (a) various NPO corresponding to PTSD, anxiety, and depression symptoms; (b) risk factors that undermined resilience, including internalized self-blame secondary to sociocultural AISA stigma, low self-compassion, FOSC, and preexisting maladaptive tendencies; and (c) protective factors contributing to resilience, including resisting self-blame and facilitating self-compassion by living according to one's values and challenging FOSC. CONCLUSIONS: Consistent with the social-ecological framework, AISA survivors' resilience toward NPO was undermined by the interrelated constructs of AISA stigma, internalized self-blame, and low self-compassion. In contrast, survivors' values, including being empathic and committed to feminism, fueled motivation to resist victim-blaming stigma and internalized self-blame and to practice self-compassion, ultimately countering the negative psychological effects of AISA. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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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 | 0.012 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".