Lived experiences of street girls in Côte d’Ivoire
Bibliographic record
Abstract
Purpose The United Nations continues to identify street children as one of the most vulnerable sub-populations of children and youth globally. The purpose of this paper is to present social and contextual perspectives of 11 girls living on the streets of Abidjan, Côte d’Ivoire. Implications with respect to the development and delivery of effective sexual/reproductive and mental health interventions and services are discussed. Design/methodology/approach Through semi-structured interviews and applied qualitative thematic analysis, this paper aims to achieve in-depth understanding about the lives of 11 girls living on the street. A socio-ecological framework is utilized to interpret the experiences of the girls at the individual (micro), community (mezzo) and structural (macro) levels. Findings Six main themes evolved from the thematic analysis of interview transcripts: exposure to violence and abuse before and on the street, exposure to violence and sex work, risk and vulnerability to HIV, substance use and sex work, substance use and physical and reproductive health and ways of coping and future planning. Originality/value The interplay of experiences illustrates how girls navigate their lives, and along with an appreciation of intersectionality validates the need for an integrated approach to health and social care related to health and mental health services. Integrated interventions should focus on common issues such as improving access to HIV testing and contraceptives for young girls living on the street.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| 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".