ENABLING CHILDREN WITH VULNERABILITIES TO PURSUE THEIR EDUCATIONAL ASPIRATIONS: PROSPECTS AND CHALLENGES
Bibliographic record
Abstract
In India, millions of vulnerable children, particularly those without parental care and living in alternative care settings, and girls from vulnerable sections of society, face significant barriers to accessing quality education. This compromises their fundamental right to education and often leaves their potential unfulfilled. There are also many cross-sectional barriers, such as poverty, gender, caste, and social norms, that reduce opportunities for education. Despite strong legislative and policy mandates in India that emphasise the government’s obligation to protect children’s rights and ensure access to education, gaps persist. Inadequate education hampers children’s overall well-being and development, leaving them unprepared for independent living. This paper highlights the efforts of Udayan Care, a practitioner organization, in regard to improving educational access and outcomes for vulnerable young people. It highlights the role of practitioners in two key programs run by Udayan Care when it comes to supporting academic pursuits and their effects on life outcomes for the recipients of its two programs: Udayan Ghars (Sunshine Homes), a residential program for children without parental care; and Udayan Shalini Fellowship, a program to support girls from underserved families through higher education and leadership. This paper explores the systematic and sociocultural barriers to education for children in care and for young adolescent girls in the communities, and demonstrates how individualised support, mentoring, and a trauma-informed approach can transform their lives. Findings are based on internal program evaluations and practitioner insights and experiences. This paper also offers recommendations to empower vulnerable children through comprehensive education and skill-building initiatives. These best practices demonstrate the transformative power of tailored interventions in shaping the lives of marginalised children and creating a foundation for their independent and successful futures.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".