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 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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".