Facilitators and Barriers to Child Sexual Abuse (CSA) Disclosures: A Research Update (2000–2016)
Bibliographic record
Abstract
Identifying and understanding factors that promote or inhibit child sexual abuse (CSA) disclosures has the potential to facilitate earlier disclosures, assist survivors to receive services without delay, and prevent further sexual victimization. Timely access to therapeutic services can mitigate risk to the mental health of survivors of all ages. This review of the research focuses on CSA disclosures with children, youth, and adults across the life course. Using Kiteley and Stogdon's literature review framework, 33 studies since 2000 were identified and analyzed to extrapolate the most convincing findings to be considered for practice and future research. The centering question asked: What is the state of CSA disclosure research and what can be learned to apply to practice and future research? Using Braun and Clarke's guidelines for thematic analysis, five themes emerged: (1) Disclosure is an iterative, interactive process rather than a discrete event best done within a relational context; (2) contemporary disclosure models reflect a social-ecological, person-in-environment orientation for understanding the complex interplay of individual, familial, contextual, and cultural factors involved in CSA disclosure; (3) age and gender significantly influence disclosure; (4) there is a lack of a life-course perspective; and (5) barriers to disclosure continue to outweigh facilitators. Although solid strides have been made in understanding CSA disclosures, the current state of knowledge does not fully capture a cohesive picture of disclosure processes and pathways over the life course. More research is needed on environmental, contextual, and cultural factors. Barriers continue to be identified more frequently than facilitators, although dialogical forums are emerging as important facilitators of CSA disclosure. Implications for practice in facilitating CSA disclosures are discussed with recommendations for future research.
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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 | 0.011 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".