Bibliographic record
Abstract
Sexual abuse is an increasing problem in Malawi amongst female students, and is associated with physical and mental health problems. This study aimed to determine existing knowledge of sexual abuse amongst female students in tertiary education institutions in Malawi. A descriptive, comparative, quantitative and contextual research design was used. Participants (n=219) were selected through systematic random sampling from a population of female students aged 18 to 21, at fifteen (n= 15) tertiary education institutions in Malawi. Sexually abusive behaviours demonstrated by a lover and friend were interpreted as not being abusive. There were no significant differences in knowledge of sexual abuse between the abused and non-abused respondent groups (p > 0.05). The overall prevalence rate of sexual abuse was 41%. Common forms of sexual abuse experienced were touching of breasts (54.4%) and attempted sexual intercourse (47.8%). Completed sexual intercourse was experienced by 18.9% of the respondents. The majority reported that they were sexually abused by men (98.9%). Twenty one percent experienced more than one sexually abusive incident and some respondents were abused by friends (30%). The abusers mostly used physical threats. Only 55.6% reported their sexual victimisation to others. Female students aged 18 to 21 in tertiary education institutions in Malawi had some knowledge of sexual abuse, but there were deficits in the interpretation of sexually abusive behaviours. The majority of abusers were male adolescents and young adults. Respondents should know what the Malawi law stipulates and what can be done to control and prevent sexual abuse. The information obtained from the study was used to develop guidelines for sexual abuse prevention programmes.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".