Experiences of mothers of sexually abused children in North-West province, post disclosure
Bibliographic record
Abstract
BACKGROUND: Sexual violence against children is increasing at an alarming rate in South Africa. In 2010 the South African Police Service (SAPS) reported 21 538 rape cases of children under 18 years. In the North-West province (NWP) 5039 incidents of rape cases were reported in 2009. Mothers often experience emotional pain following child sexual abuse disclosure. It is seldom acknowledged that these mothers experience trauma and need support, post disclosure. The researcher has no known evidence of research conducted on the experiences of these mothers in NWP. OBJECTIVE: The objective of the study was to explore and describe the experiences of mothers of sexually abused children post disclosure of the abuse. METHOD: The research design was qualitative, exploratory, descriptive and contextual. Purposive sampling was used to select mothers of sexually abused children aged 23 to 59 years whose children ranged from 0 to 16 years. Permission to conduct the study was sought from the Provincial Department of Health and informed consent was obtained from the mothers. Interviews were conducted with a sample of n = 17 until data saturation. Data were collected through in-depth interviews using a voice recorder and field notes to enhance triangulation. Tesch's method of open coding was used to analyse data. RESULTS: Findings indicated that mothers experienced emotional pain post sexual abuse. They expressed shock, anger and guilt for not noticing the abuse. They showed significant depression as a result of lack of support by stakeholders. CONCLUSION: Mothers experienced secondary trauma that poses social and psychological challenges with far-reaching implications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".