In the face of war: examining sexual vulnerabilities of Acholi adolescent girls living in displacement camps in conflict-affected Northern Uganda
Bibliographic record
Abstract
BACKGROUND: Adolescent girls are an overlooked group within conflict-affected populations and their sexual health needs are often neglected. Girls are disproportionately at risk of HIV and other STIs in times of conflict, however the lack of recognition of their unique sexual health needs has resulted in a dearth of distinctive HIV protection and prevention responses. Departing from the recognition of a paucity of literature on the distinct vulnerabilities of girls in time of conflict, this study sought to deepen the knowledge base on this issue by qualitatively exploring the sexual vulnerabilities of adolescent girls surviving abduction and displacement in Northern Uganda. METHODS: Over a ten-month period between 2004-2005, at the height of the Lord's Resistance Army insurgency in Northern Uganda, 116 in-depth interviews and 16 focus group discussions were held with adolescent girls and adult women living in three displacement camps in Gulu district, Northern Uganda. The data was transcribed and key themes and common issues were identified. Once all data was coded the ethnographic software programme ATLAS was used to compare and contrast themes and categories generated in the in-depth interviews and focus group discussions. RESULTS: Our results demonstrated the erosion of traditional Acholi mentoring and belief systems that had previously served to protect adolescent girls' sexuality. This disintegration combined with: the collapse of livelihoods; being left in camps unsupervised and idle during the day; commuting within camp perimeters at night away from the family hut to sleep in more central locations due to privacy and insecurity issues, and; inadequate access to appropriate sexual health information and services, all contribute to adolescent girls' heightened sexual vulnerability and subsequent enhanced risk for HIV/AIDS in times of conflict. CONCLUSIONS: Conflict prevention planners, resettlement programme developers, and policy-makers need to recognize adolescent girls affected by armed conflict as having distinctive needs, which require distinctive responses. More adaptive and sustainable gender-sensitive reproductive health strategies and HIV prevention initiatives for displaced adolescent girls in conflict settings must be developed.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".