Experiences of Mothers Who Are Child Sexual Abuse Survivors: A Qualitative Exploration
Bibliographic record
Abstract
Child sexual abuse has been associated with a number of problems affecting women over their lifespan, including difficulties with parenting. However, there is a modest number of qualitative studies examining the impact of child sexual abuse on survivors who are mothers. There is a particular need for qualitative investigations that ask survivors who are mothers general questions about the impact of child sexual abuse on their lives rather than those that specifically ask about the impact of child sexual abuse on parenting. The former approach would allow survivors to describe effects that may impact parenting but that survivors do not consciously link to affecting their parenting. Such information may inform interventions to assist this population of survivors. This secondary data analysis examined themes revealed in interviews with 44 survivors of child sexual abuse who were mothers. Participants were seeking treatment for their child sexual abuse and completed an in-person interview in which they were asked open-ended questions about the sexual abuse they experienced as a child and how their abuse affects them now as adults. The interviews were recorded, transcribed, and coded using thematic analysis. The following six themes emerged from the narratives: (a) being a parent, (b) family of origin dysfunction, (c) the impact of abuse, (d) the abuse history and response to abuse, (e) coping, and (f) hopes and desires for the future. This study highlights several ways in which child sexual abuse impacts survivors who are mothers, areas for further study, and the need for interventions to assist this population in meeting the challenges they face as mothers.
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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 | 0.010 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".