Achievements and Implications of Care and Support Programme among Orphaned and Vulnerable Children: A Systematic Evaluation of HAF II Project in Kogi State, Nigeria
Bibliographic record
Abstract
Background: Kogi State recognizes the necessity of meeting the needs of orphans and vulnerable children (OVC) with compassionate care as a result broad range vulnerabilities faced by these children and their families.This paper therefore presents achievements and implications of care and support programme among OVC in Kogi State, Nigeria Methods: Five civil society organizations were engaged by Kogi State Agency for the Control of AIDS under HIV/AIDS fund (HAF) II project to provide care and support services for OVC.A total of 3700 OVC were reached with this intervention and selection of participants was done using purposive sampling.Data collected using data collection and reporting tools were entered on DHIS2 platform and later exported into and analyzed using Microsoft Excel.Results: Out of the total of 3700 OVC enrolled in this project, 114 (3.1%) were lost to follow up, 138 (3.7%) voluntary withdrawn from the project and 295 (8.0%) died.The number of household heads provided with economic support was 760.Among these, 60.9% were supported in 2015.A total of 192 children were also provided with economy strengthening services, 3367 were provided with educational access.In 2015 alone, a total of 1920 representing 51.9% of the total population were provided with nutritional support, 808 children were provided with protection services while 116 were provided shelter.Conclusion: Programming for children orphaned and made vulnerable by HIV/AIDS will contribute to the achievement of an AIDS-free generation by responding to the social (including economic) and emotional consequences of the disease on children, their families, and communities that support them.Scale-up of this intervention is therefore recommended.
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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 | 0.013 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".